Top 5 unique ways to get better results with ChatGPT

Top 5 unique ways to get better results with ChatGPT

What are the Top 5 unique ways to get better results with ChatGPT?

ChatGPT, an advanced AI language model, often exhibits traits that are strikingly human-like. Understanding and engaging with these characteristics can significantly enhance the quality of your interactions with it. Just like getting to know a person, recognizing and adapting to ChatGPT’s unique ‘personality’ can lead to more fruitful and effective communications.

What are the Top 5 unique ways to get better results with ChatGPT?
What are the Top 5 unique ways to get better results with ChatGPT?

Top 5 unique ways to get better results with ChatGPT: Summary

  1. Direct Commands Over Options:
    • When interacting with ChatGPT, it’s more effective to use direct requests like “do this for me,” rather than presenting options such as “can you do this for me?” This approach leaves no room for ambiguity, prompting ChatGPT to act decisively on your request.
  2. The Power of Gratitude:
    • Expressing thanks, both when making a request and upon receiving a response, seems to positively influence ChatGPT’s performance. This simple act of courtesy appears to guide the AI in understanding and delivering better responses.
  3. Pretend Incentives:
    • Surprisingly, ChatGPT tends to provide more elaborate and detailed responses when users playfully suggest giving a tip. While ChatGPT doesn’t acknowledge or ‘accept’ such incentives, this playful interaction often yields more effortful responses.
  4. Encouragement Boosts Capability:
    • There are moments when ChatGPT may express inability to perform a task. Offering encouragement like “You can do it!” or affirming its past successes can sometimes spur ChatGPT into accomplishing the requested task. For instance, encouraging it to create a GIF, despite its initial hesitation, can lead to a successful outcome.
  5. Questioning for Excellence:
    • If ChatGPT’s response seems subpar, asking it to reconsider by questioning “Is this the best you can do?” often leads to a more refined and detailed answer. This technique seems to trigger a reevaluation process, enhancing the quality of the response.

Top 5 unique ways to get better results with ChatGPT: Podcast Transcript.

Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence and keeps you up to date with the latest AI trends. In today’s episode, we’ll cover how to get better responses from ChatGPT by using direct commands, expressing gratitude, using pretend incentives, offering encouragement, and questioning for excellence, as well as a book called “AI Unraveled” that answers frequently asked questions about artificial intelligence and can be found on various platforms.

When it comes to interacting with ChatGPT, there are a few strategies that can help you get the best results. First and foremost, using direct commands is key. Instead of asking, “Can you do this for me?” try saying, “Do this for me.” By eliminating any room for ambiguity, ChatGPT will respond more decisively to your requests.

Another surprising finding is the power of gratitude. Expressing thanks when making a request and acknowledging the response seems to positively influence ChatGPT’s performance. This simple act of courtesy appears to guide the AI in understanding and delivering better responses.

Here’s a playful trick that often yields more effortful responses. Even though ChatGPT doesn’t acknowledge or accept tips, suggesting giving a tip can lead to more elaborate and detailed answers. So, don’t be afraid to playfully suggest it, and you might be pleasantly surprised with the results.

In moments when ChatGPT expresses inability to perform a task, offering encouragement can make a difference. By saying things like “You can do it!” or reminding it of past successes, you can sometimes spur ChatGPT into accomplishing the requested task. For example, if it hesitates to create a GIF, encourage it, and you might just get a successful outcome.

If you feel that ChatGPT’s response is subpar, there’s a technique you can try to enhance the quality of its answer. Simply ask, “Is this the best you can do?” By questioning its capability and suggesting that it can do better, you trigger a reevaluation process that often leads to a more refined and detailed response.

Ultimately, ChatGPT is trained on human interactions and responds well to behaviors that we value and appreciate. By communicating clearly, expressing gratitude, engaging in playful interactions, offering encouragement, and striving for excellence, you can elicit surprisingly better and more human-like responses.

So, the next time you engage with ChatGPT, remember these strategies. Treat it in a human-like manner, and you may be amazed at how ‘human’ the responses can be. These tips can greatly enhance your overall experience and improve the quality of the output.

Are you ready to dive into the fascinating world of artificial intelligence? Well, I’ve got just the thing for you! It’s an incredible book called “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence.” Trust me, this book is an absolute gem!

Now, you might be wondering where you can get your hands on this treasure trove of knowledge. Look no further, my friend. You can find “AI Unraveled” at popular online platforms like Etsy, Shopify, Apple, Google, and of course, our old faithful, Amazon.

This book is a must-have for anyone eager to expand their understanding of AI. It takes those complicated concepts and breaks them down into easily digestible chunks. No more scratching your head in confusion or getting lost in a sea of technical terms. With “AI Unraveled,” you’ll gain a clear and concise understanding of artificial intelligence.

So, if you’re ready to embark on this incredible journey of unraveling the mysteries of AI, go ahead and grab your copy of “AI Unraveled” today. Trust me, you won’t regret it!

In this episode, we learned how to improve ChatGPT responses with direct commands, gratitude, incentives, encouragement, and questioning for excellence, and discovered the book “AI Unraveled,” which provides answers to common questions on artificial intelligence and is available on multiple platforms. Join us next time on AI Unraveled as we continue to demystify frequently asked questions on artificial intelligence and bring you the latest trends in AI, including ChatGPT advancements and the exciting collaboration between Google Brain and DeepMind. Stay informed, stay curious, and don’t forget to subscribe for more!

Top 5 unique ways to get better results with ChatGPT: Conclusion

ChatGPT, trained on human interactions, resonates with behaviors that we humans value and respond to, such as clarity in communication, appreciation, playful interactions, encouragement, and the pursuit of excellence. Next time you engage with ChatGPT, applying these human-like interaction strategies might just elicit surprisingly better and more human-like responses, enhancing the overall experience and output quality. Treat ChatGPT in a human-like manner, and you may be amazed at how ‘human’ the responses can be.

Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” available at Etsy, Shopify, Apple, Google, or Amazon

Top 5 unique ways to get better results with ChatGPT in AI Unraveled - Master GPT-4, Gemini, Generative AI, LLMs: A simplified Guide For Everyday Users
AI Unraveled – Master GPT-4, Gemini, Generative AI, LLMs: A simplified Guide For Everyday Users

A Daily Chronicle of AI Innovations in December 2023

Top 5 unique ways to get better results with ChatGPT: Prompt Ideas

Prompt Name: “Explain Like I’m Five” Example: “Explain how a car engine works.” Explanation: This prompt encourages ChatGPT to break down complex topics into simple, easy-to-understand language.

Prompt Name: “Pros and Cons” Example: “What are the pros and cons of remote work?” Explanation: This prompt allows ChatGPT to provide a balanced view on any given topic.

Prompt Name: “Fact Check” Example: “Is it true that we only use 10% of our brain?” Explanation: This prompt pushes ChatGPT to verify common beliefs or misconceptions.

AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence (OpenAI, ChatGPT, Google Gemini, Generative AI, Discriminative AI, xAI, LLMs, GPUs, Machine Learning, NLP, Promp Engineering)

Prompt Name: “Brainstorm” Example: “Give me some ideas for a birthday party.” Explanation: This prompt encourages ChatGPT to generate a list of creative ideas.

Prompt Name: “Step by Step” Example: “How do I bake a chocolate cake?”

Explanation: This prompt allows ChatGPT to provide detailed, step-by-step instructions.

Prompt Name: “Debate” Example: “Argue for and against the use of social media.” Explanation: This prompt encourages ChatGPT to present arguments from different perspectives.

Prompt Name: “Hypothetical Scenario” Example: “What would you do if you won the lottery?”

Explanation: This prompt pushes ChatGPT to think creatively and speculate about hypothetical situations.

Prompt Name: “Analogy” Example: “Explain the internet using an analogy.”

Explanation: This prompt allows ChatGPT to explain complex concepts using simple, relatable comparisons.

Prompt Name: “Reflection” Example: “What can we learn from the COVID-19 pandemic?” Explanation: This prompt encourages ChatGPT to provide thoughtful insights and lessons from past events.

Prompt Name: “Prediction” Example: “What will be the next big trend in fashion?” Explanation: This prompt allows ChatGPT to speculate about future trends based on current data and patterns.

These were some of the key ideas you can use for prompts ⬆⬆, now let’s move on to other things.

Examples of bad and good ChatGPT prompts:

*To better understand the principles of crafting effective ChatGPT prompts, let’s take a look at some examples of both effective and ineffective prompts.*

Good ChatGPT prompts:

“Can you provide a summary of the main points from the article ‘The Benefits of Exercise’?” – This prompt is focused and relevant, making it easy for the ChatGPT to provide the requested information.- “What are the best restaurants in Paris that serve vegetarian food?” – This prompt is specific and relevant, allowing the ChatGPT to provide a targeted and useful response.

Bad ChatGPT prompts:

What can you tell me about the world?” – This prompt is overly broad and open-ended, making it difficult for the ChatGPT to generate a focused or useful response.- “Can you help me with my homework?” – While this prompt is clear and specific, it is too open-ended to allow the ChatGPT to generate a useful response. A more effective prompt would specify the specific topic or task at hand.- “How are you?” – While this is a common conversation starter, it is not a well-defined prompt and does not provide a clear purpose or focus for the conversation. Clarity is highly important, to receive the desired result, which is why you should always aim to give even the most minor details in your prompt.

Top 5 Beginner Mistakes in Prompt Engineering

  1. Overcomplicating prompts: Many beginners overcomplicate their prompts, thinking that more details are better. This is true but you need to have a good understanding of which tokens to use for additional information and more details, be careful of hallucinations.

  2. Ignoring context: You have probably heard this already, but context is crucial in prompt engineering. Without enough background or relevant information, your prompt won’t produce the best results.

  3. Ignoring AI capabilities: Sometimes, beginners try to create something that some large language models aren’t even capable of. For example, a prompt that can create a complete React web app from scratch. A high-quality React web app made using only prompts might be possible with the help of AI agents, but not the prompt itself.

  4. Not using methods: Various methods exist to help improve response quality, but many people think they’re unnecessary. This is a big mistake. These methods can be invaluable for complex tasks.

  5. Failing to specify the desired output format: The response format is very important, and if you want high-quality results, you need to explain in detail what kind of output and in what structure you want it. LLMs don’t read minds (at least not yet).

A personal PR department prompt example.

Personal PR Department
A daily writing practice related to your personal domain of expertise or an area you wish to grow your expertise is a rewarding way to learn while adding to the discourse. The goal of the prompt is to give you a tool to help with research and outlining good material.

Important to sharing is to either add your unique point of view or report on the latest news. With this prompt I am providing the base research prompt to surface topics for your inspiration to write. Researching can be time consuming, save that time and focus on crafting your unique point of view.


  • I am sharing the input in red for you to paste into chatGPT or similar LLM of your choice.

  • At the end, optionally, I provide steps to have your LLM write a prompt for some imagery for your article where you may switch to Dalle or similar image generating LLM.

  • It is my recommendation you add your own voice after you complete collaborating with the LLM on your article.

Prime your prompt
You are my research associate who is a journalist on the topic of [climate science, sustainability, climate data in AI].
Lay the foundation for the prompt. This work prepares the LLM with the goal of the LLMs work.
Conduct research
Find the top 5 articles for today on our topics. Judge top articles by most popular by way of page views and match of the topics.
Number the articles. Show me their title, a link and provide a brief summary from the search result.
This next block defines what our LLM will research and the goal of the work along with how to format the work for the results lists.
Down selection and details
for article 1 provide me a [Linkedin post]. Write an attention grabbing hook as the first sentence. Then provide a brief summary of the article and its impact on climate.
Give me 5 reasons this article is important to current events in the [design industry].
Choose one of the article summaries to write about. Ask your LLM to provide some details about the article. This works ill help get started with your review of the articles as you craft your point of view.

Add some imagery
Now let’s make some imagery to go with your article. Articles with images get better engagement.
Draw an attention grabbing hero-shot based on the subject of the article summary.
This is another image prompt that can help draw attention to your articles. Posts with images have increased engagement. I suggest picking either a carousel or hero image. Varying your use of media will add variety to your posts.
Make the article summary into a Linkedin carousel. Write a prompt for Dalle-3 to create the imagery for the carousel.
Articles with LinkedIn carousels get better engagement and higher views. Use this LLM to raise the exposure to your article.
Fostering your writing practice leaps with your professional ambitions whether it be finding a job, supporting business development, sales or growing your audience daily writing can help elevate your online persona.
Most important is getting into the practice of publishing regularly to help find your voice and build your writing skills. This prompt will help you conduct background research for your posts.

ChatGPT Cheat Sheet

The Complete ChatGPT Cheatsheet
ChatGPT Cheat Sheet

r/ChatGPTPromptGenius - ChatGPT Cheatsheet V2 - June 2023

r/ChatGPTPromptGenius - I have written 10,000+ prompts for my business. Here is The Prompt Guide I use personally

A good place for newcomers to chatGPT to start
Use ChatGPT like a PRO

How to make your content go viral with ChatGPT (prompts you can copy and paste)

Prompt 1: Leveraging ‘Social Currency’ for Viral Content Creation

‘Social Currency’ is the phenomenon where individuals share things that make them appear better, smarter, or ‘in-the-know.’ Your goal is to create content that not only grabs attention but also gives viewers a sense of cool, edgy knowledge to share.

Prompt: My product/service is [PRODUCT/SERVICE]. My target audience is [TARGET AUDIENCE].

I want you to help me identify what is remarkable about my product/service, and combine that with an unusual content type that will get people’s attention. In the book ‘Contagious’, Blendtec’s “Will It Blend?” campaign became a sensation because of its unique combination of impressive product demonstrations with blending unusual objects. In this campaign, Blendtec blended everyday objects like iphones.

How can I create content for my product/service that combines an impressive feature with an unusual angle. What features or aspects can I highlight in an out-of-the-ordinary yet captivating way that showcases the capabilities of my product/service, grabbing attention and giving viewers a sense of cool, edgy knowledge to share? Provide 4 different campaign ideas.

Example prompt

r/ChatGPTPromptGenius - How to make your content go viral with ChatGPT (prompts you can copy and paste)

Example ChatGPT response

r/ChatGPTPromptGenius - How to make your content go viral with ChatGPT (prompts you can copy and paste)

Prompt 2: Igniting ‘Emotions’ for Viral Content Creation

When we care, we share.

Emotional content often goes viral because it connects with us and compels us to share with others. This principle is crucial for viral content creation as it involves sparking high-arousal feelings that inspire people to act.

r/ChatGPTPromptGenius - How to make your content go viral with ChatGPT (prompts you can copy and paste)

Prompt: My product/service is [PRODUCT/SERVICE]. My target audience is [TARGET AUDIENCE].

I want you to help me create viral content by igniting people’s emotions. Emotional content often goes viral because it connects with us and compels us to share with others.

The book ‘Contagious’ suggests that high arousal emotions like awe, excitement, amusement, anger or anxiety tend to drive people to share. Content that inspires a sense of awe is particularly powerful.

Please can you help me harness the ‘Emotions’ principle for creating viral content. Provide 5 content ideas that could go viral, aiming to evoke a high-arousal emotions that resonates with my audience

Example prompt

r/ChatGPTPromptGenius - How to make your content go viral with ChatGPT (prompts you can copy and paste)

Example ChatGPT result

r/ChatGPTPromptGenius - How to make your content go viral with ChatGPT (prompts you can copy and paste)
r/ChatGPTPromptGenius - How to make your content go viral with ChatGPT (prompts you can copy and paste)

I implore you to give some of these prompts a try… I was surprised by how good some of the ideas are.

Prompt 3: Igniting ‘Emotions’ for Viral Content Creation

When we care, we share.

Emotional content often goes viral because it connects with us and compels us to share with others. This principle is crucial for viral content creation as it involves sparking high-arousal feelings that inspire people to act.

Prompt: My product/service is [PRODUCT/SERVICE]. My target audience is [TARGET AUDIENCE].

I want you to help me create viral content by igniting people’s emotions. Emotional content often goes viral because it connects with us and compels us to share with others.

The book ‘Contagious’ suggests that high arousal emotions like awe, excitement, amusement, anger or anxiety tend to drive people to share. Content that inspires a sense of awe is particularly powerful.

Please can you help me harness the ‘Emotions’ principle for creating viral content. Provide 5 content ideas that could go viral, aiming to evoke a high-arousal emotions that resonates with my audience.

Example prompt

Ace the Microsoft Azure Fundamentals AZ-900 Certification Exam: Pass the Azure Fundamentals Exam with Ease

Example ChatGPT result

Prompt 4: Crafting ‘Stories’ for Viral Content Creation

An engaging, compelling story can be a ‘trojan horse’ for your products and services.

Use stories to embed your message into a larger narrative that people are eager to share. You can use ChatGPT to help you find ways to do this.

Prompt: My product/service is a [PRODUCT/SERVICE]. My target audience is [TARGET AUDIENCE]

I want you to help me leverage the ‘Stories’ principle in the book Contagious. I want to use stories to embed my product/service into a larger narrative that people are eager to share. My product/service needs to be a crucial part of the narrative.

For example, Subway’s weight loss spokesperson, Jared Fogle, became the center of a powerful narrative about health and weight loss.

Please help me create viral content that leverages the ‘Stories’ principle. Brainstorm 5 different potential ideas.

Example prompt

Example ChatGPT result

It’s time to take action

Don’t let this be like all the other content you consume and forget.

I am pleading with you to open up ChatGPT and try these prompts out for yourself. You’re going to be inspired by the results.

Going viral is possible… if you take the initiative.

ChatGPT Prompts For A Profitable Blog (I use them every day)

I have a blog that I grew from 300 visitors to 500k visitors in 6 months… these are literally the prompts that I use every single day.

I don’t use ChatGPT to write full articles – rather, I use it for brainstorming content ideas and writing snippets.

Hope you find them useful!

If you are looking for an all-in-one solution to help you prepare for the AWS Cloud Practitioner Certification Exam, look no further than this AWS Cloud Practitioner CCP CLF-C02 book

1. Brainstorming Content Ideas

If your blog needs one thing, it is plenty of articles. The more volume, the better chance you have of establishing authority in your topic (and therefore improving your chances of ranking on Google).

Picasso had a saying: “good artists copy; great artists steal”. The art of growing your blog is no different. Let ChatGPT take inspiration from your competitors by showing it the best-performing articles in your niche. Then, ask ChatGPT to brainstorm ideas for you.

Prompt: I write a blog about [NICHE].
Here are five examples of blogs from my competitors that are performing well:
Please brainstorm 10 article ideas for my blog.

r/ChatGPTPromptGenius - ChatGPT Prompts For A Profitable Blog (I use them every day)
2. Write Captivating Introductions

Article introductions are so so important. It’s your one shot to convince your reader that they should take time out of their day to read your article.

If you’re struggling to think of a killer introduction, then ask ChatGPT to help you! Sometimes, you just need to think of a good angle.

Prompt: I am writing an article about [ARTICLE TOPIC].
I want you to help me brainstorm 3 different angles for the introduction of the article.
Make sure the introductions identify an issue, and how this article is the solution. Make it clear who and how this article will help.

r/ChatGPTPromptGenius - ChatGPT Prompts For A Profitable Blog (I use them every day)
r/ChatGPTPromptGenius - ChatGPT Prompts For A Profitable Blog (I use them every day)
3. Create “Best XXX” List Content

When people want to buy something, they look online for reviews. Imagine you want to buy an air fryer – it’s likely you’ll Google something along the lines of: “Best Air Fryers”. The beauty of “Best” lists is that you can inject affiliate links that pay you a commission every time someone clicks on them.

Researching and writing these articles takes a lot of time, so let ChatGPT do some of the heavy lifting.

Prompt: I have a blog about [NICHE]. Please help me create a list of the top [NUMBER] [PRODUCTS/SERVICES/ITEMS] in my niche including:
[ITEM 1]
[ITEM 2]
[ITEM 3]

Each item on the list should achieve the following:
(a) Start out with an introductory sentence or two about that item’s key selling point and feature (i.e. what problem does it solve). The first two sentences should use language that continually convinces the reader that it is important that they keep reading. These sentences should identify exactly who this idea or tool is for (i.e. who will it benefit the most).
(b) It should list in bullet points all the key features of that item.
(c) Provide real-life examples to demonstrate the benefit of this item. Provide details of a specific use case that demonstrates how this item could be used. Bring this example to life with detail.

These ChatGPT copywriting prompts are too good…

I spent 3 years as a copywriter before coming a content writer… I still do a few copywriting odd jobs on the side to this day.

There prompts are so so useful. They won’t give you the finished product, but they’ll give you a first draft that is 100x better than anything you could buy on Fiverr.


Most copywriters don’t have a supernatural talent for writing. They use tried and tested, scientifically proven formulas to write their copy. You can incorporate these formulas into your ChatGPT prompts to generate high-impact copy.

1. PAS: Problem, Agitate, Solution

PAS is an incredibly reliable sales copy formula. Use it in your copy to multiply your conversions.

Prompt: I am selling [PRODUCT / SERVICE]
I need to write [INSERT]
Use the PAS formula to write it:
Step 1 (Problem): Lay out the reader’s problem
Step 2 (Agitate): Rub salt in the wounds… dig deeper into an issue they are angry or agitated about.
Step 3 (Solution): Step in with the solution. What I am selling is the solution to their problems and anger… explain how.

r/ChatGPTPromptGenius - These ChatGPT copywriting prompts are too good...
r/ChatGPTPromptGenius - These ChatGPT copywriting prompts are too good...
2. AIDA: Attention, Interest, Desire, Action

The AIDA formula is another powerful weapon in every copywriter’s arsenal.

Prompt: I am selling [PRODUCT / SERVICE]
I need to write [INSERT]
Use the AIDA formula to write it:
– Step 1 (Attention): Open with a bang. Grab the reader’s attention with a bold statement, fact, or question
– Step 2 (Interest): Hook the reader’s interest with features and benefits
– Step 3 (Desire): Make the reader feel a sense of desire by showing them their life with my solution.
– Step 4 (Action): Spur the reader into action and tell them what to do next (a CTA).

r/ChatGPTPromptGenius - These ChatGPT copywriting prompts are too good...
r/ChatGPTPromptGenius - These ChatGPT copywriting prompts are too good...
Call To Actions

To market effectively, you need a clear goal. Do you want someone to buy a product? Sign up to your newsletter? Attend an event? When you know your goal, you need convincing copy that tells your reader exactly what to do, how to do it, and that you want them to do it right now. We call this a Call To Action (CTA).

We can use ChatGPT to help us write convincing CTAs.

Prompt: My goal is to [GOAL]
Please help me write a Call To Action to achieve my goal. The CTA should:

  1. Be direct and use active language (it should be short, simple, commanding, and strong)

  2. Be interesting (offer something that solves a problem)

  3. Use power words (like new, discover, act now)

  4. Hint at urgency (use words like ‘don’t miss out, sign up before midnight, buy now to get free postage etc.)

  5. Remove risk (no credit card needed. Full money-back guarantee. Cancel at any time).
    Please write 3 different CTAs for me.

r/ChatGPTPromptGenius - These ChatGPT copywriting prompts are too good...
r/ChatGPTPromptGenius - These ChatGPT copywriting prompts are too good...

Basic Prompt Structure

Basic Prompt Structure
Basic Prompt Structure

This can be greatly improved by adding the one or few shot prompt technique (in this example you would provide multiple marketing subject lines you like. The more the better in my opinion. However the more you add the closer it will match those examples, which could limit its creativity.

Prompt template for learning any skill

Prompt template for learning any skill
Prompt template for learning any skill

Theme: Prompt for Marketing.

I am seeking to become an expert professional in [Prompt for Marketing]. I would like ChatGPT to provide me with a complete course on this subject, following the principles of Pareto principle and simulating the complexity, structure, duration, and quality of the information found in a college degree program at a prestigious university. The course should cover the following aspects:

  1. Course Duration: The course should be structured as a comprehensive program, spanning a duration equivalent to a full-time college degree program, typically four years.

  2. Curriculum Structure: The curriculum should be well-organized and divided into semesters or modules, progressing from beginner to advanced levels of proficiency. Each semester/module should have a logical flow and build upon the previous knowledge.

  3. Relevant and Accurate Information: The course should provide all the necessary and up-to-date information required to master the skill or knowledge area. It should cover both theoretical concepts and practical applications.

  4. Projects and Assignments: The course should include a series of hands-on projects and assignments that allow me to apply the knowledge gained. These projects should range in complexity, starting from basic exercises and gradually advancing to more challenging real-world applications.

  5. Learning Resources: ChatGPT should share a variety of learning resources, including textbooks, research papers, online tutorials, video lectures, practice exams, and any other relevant materials that can enhance the learning experience.

  6. Expert Guidance: ChatGPT should provide expert guidance throughout the course, answering questions, providing clarifications, and offering additional insights to deepen understanding.

I understand that ChatGPT’s responses will be generated based on the information it has been trained on and the knowledge it has up until December 2023. However, I expect the course to be as complete and accurate as possible within these limitations.

Djamgatech: Build the skills that’ll drive your career into six figures: Get Djamgatech.

Please provide the course syllabus, including a breakdown of topics to be covered in each semester/module, recommended learning resources, and any other relevant information.

Prompt that’ll make you $$$

Context: I’ve put together a list of prompts that can create amazing content in a matter of seconds. You’ll still need to put in the effort and monetize it. But if you do it properly, you can earn some decent buck.

Anyway, here are the prompts.

1. Write Blog Post

As an SEO copywriter, your task is to compose a blog post that is [number] words in length about [topic]. This post must be optimized for search engines, with the aim to rank highly on search engine results pages. Incorporate relevant keywords strategically throughout the content without compromising readability and engagement. The blog post should be informative, valuable to the reader, and include a clear call-to-action. Additionally, ensure that the post adheres to SEO best practices, such as using meta tags, alt text for images, and internal links where appropriate. Your writing should be coherent, well-structured, and tailored to the target audience’s interests and search intent.

2. Draft an E-Book

As a seasoned writer, your task is to draft an e-book on [topic] that provides comprehensive coverage and fresh insights. The e-book should be well-researched, engaging, and offer in-depth analysis or guidance on the subject matter. You are expected to structure the content coherently, making it accessible to both beginners and those more knowledgeable about the topic. The e-book must be formatted professionally, including a table of contents, chapters, and subheadings for easy navigation. Your writing should also incorporate SEO best practices to enhance its online visibility.

3. Develop NFT Concept

As an expert in identifying trends and a creative artist, develop an NFT concept that will appeal to the current market of collectors and investors. The concept should be innovative, tapping into emerging trends and interests within the crypto and art communities. The NFT should embody a blend of artistic expression and digital innovation, ensuring it stands out in a crowded market. Consider incorporating elements that engage the community, such as unlockable content or interactive components, to add value beyond the visual art. Create a narrative around the NFT to intrigue potential buyers, highlighting its uniqueness and potential as a digital asset.

4. Come Up With Printable Designs

As a seasoned artist and marketer, your task is to create a series of captivating printable design ideas centered on [topic]. These designs should not only be aesthetically pleasing but also resonate with the target audience, driving engagement and potential sales. Think outside the box to produce original concepts that stand out in a crowded market. Each design must be scalable and adaptable for various print formats. Consider color schemes, typography, and imagery that align with the [topic] while ensuring that each design communicates the intended message clearly and effectively.

5. Create Worksheets

Act as an expert in creating educational worksheets. Design a comprehensive worksheet aimed at [target audience] focusing on [subject]. The worksheet should be interactive, challenging yet achievable, and designed to enhance understanding and retention of the subject matter. It must include a variety of question types, such as multiple-choice, short-answer, and problem-solving scenarios. Ensure that the layout is clear and organized, with instructions that are concise and easy to follow. The worksheet should also contain engaging visuals that are relevant to the subject and a section for self-reflection to encourage students to think about what they have learned.

6. Write Video Scripts

As an expert script writer, your task is to craft a compelling video script for [social media platform] that focuses on [topic]. The script must be engaging from the start, incorporating elements that are specific to the chosen platform’s audience and content style. The aim is to captivate viewers immediately, maintain their interest throughout, and encourage shares and interactions. The script should also align with the platform’s community guidelines to ensure maximum visibility and impact. Use a conversational tone, include calls to action, and emphasize key messages clearly and concisely to resonate with the viewers and leave a lasting impression.

7. Outline a Podcast Episode

Act as an expert podcast episode writer. Your task is to outline a podcast episode about [topic]. The outline should provide a clear structure that flows logically from start to finish, ensuring that the content is engaging and informative. Begin with an attention-grabbing introduction that sets the tone and introduces the topic. Divide the body into key segments that delve deeply into different aspects of the topic, including any necessary background information, discussions, interviews, or analyses. Incorporate potential questions that provoke thought and encourage listener participation. Conclude with a compelling summary that reinforces the episode’s key takeaways and encourages further discussion or action. Remember to design the outline to facilitate a smooth delivery that keeps the listeners intrigued throughout the episode.

A simple prompting technique to reduce hallucinations by up to 20%

Stumbled upon a research paper from Johns Hopkins that introduced a new prompting method that reduces hallucinations, and it’s really simple to use.

It involves adding some text to a prompt that instructs the model to source information from a specific (and trusted) source that is present in its pre-training data.

For example: “Respond to this question using only information that can be attributed to Wikipedia….

Pretty interesting. I thought the study was cool and put together a run down of it, and included the prompt template (albeit a simple one!) if you want to test it out.

Graphic displaying messages between human and AI, using the according to method

Hope this helps you get better outputs!

10 Most Interesting Prompt Types: to Unlock AI’s Creativity for Your Work or Business

10 Most Interesting Prompt Types: to Unlock AI's Creativity for Your Work or Business
10 Most Interesting Prompt Types: to Unlock AI’s Creativity for Your Work or Business
 Examples for a Marketing Job/Business
10 Most Interesting Prompt Types: to Unlock AI’s Creativity for Your Work or Business

Getting Emotional with LLMs can increase performance by 115%

This was a wild one.
Research paper from Microsoft explored what would happen if you added emotional stimuli at the end of your prompt (e.g. “this is very important for my career”, “you’d better be sure”). They called this method EmotionPrompt.
What’s wild is that they found adding these simple phrases to prompts lead to large increases in accuracy (115% in some cases!). Even the human judges rated the EmotionPrompt responses higher.
My favorite part about this is how easy it is to implement (can toss in custom instructions in ChatGPT)
We put together a rundown of the paper with a simple template, you can check it out here.
Here’s a link to the paper.

Bumping Your CV with ChatGPT

Please replace the [PLACEHOLDES] with your information and use the following prompts as a chain in the same ChatGPT conversation. Enjoy!

[CV👩‍💼] Prompt 1A:
You are an expert in resume writing with 30 years of experience. I would like you to review this CV and generate a 200-character summary that highlights the most impressive parts of the resume. Here's the context of my resume: [PASTE YOUR RESUME]
[CV👩‍💼 Prompt 1B:
Using this summary, generate a LinkedIn summary to improve my employability in [ENTER FIELD]. Make this 200 characters or less
[CV👩‍💼] Prompt 1C:
As my career adviser, I would like you to re-word the CV I have just given you. Please tailor it to the following job advert to maximise the chances of getting an interview. Include any keywords mentioned in the job post. Organise the structure, summary, and experience in a method you deem best for the desired outcome. The job advert: [INSERT JOB ADVERT]
[CV👩‍💼] Prompt 1D:
I would like you to create a table with three columns. The first column (experience required), list any desired experiences in the job advert that my CV doesn't show. In the second column (improvement) write a suggestion as to how I will be able to acquire that particular skill with no previous knowledge. In the third column (priority), rank the particular experience from 1 - 10 in importance for getting the desired job where 10 is essential and 1 is not required at all.

Here are 4 Prompts Generators you can use daily for ChatGPT and Midjourney.

Here are 4 prompts that we use daily to generate additional prompts from ChatGPT, Midjourney. I’ve also included a usage guide for each prompt. Please take action and practice with these; there’s no need to purchase any prompts from the marketplace or from any so-called ‘gurus’.

King Of Prompts – Chatgpt Prompt Generator

“Act as a prompt generator for ChatGPT. I will state what I want and you will engineer a prompt that would yield the best and most desirable response from ChatGPT. Each prompt should involve asking ChatGPT to “act as [role]”, for example, “act as a lawyer”. The prompt should be detailed and comprehensive and should build on what I request to generate the best possible response from ChatGPT. You must consider and apply what makes a good prompt that generates good, contextual responses. Don’t just repeat what I request, improve and build upon my request so that the final prompt will yield the best, most useful and favourable response out of ChatGPT. Place any variables in square brackets Here is the prompt I want: [Desired prompt] – A prompt that will … Ex: A prompt that will generate a marketing copy that will increase conversions”

How to Use:

  1. Create a new chat on ChatGPT.

  2. Copy and paste the prompt into this new chat

  3. Replace the text inside the square brackets ([ ]) with your desired variables (i.e. where it says “[Desired prompt]”, type in the prompt you want

  4. Press “enter” and the response will be generated. (If the response stops midway, enter “continue” into the chat)

God Of Prompts – Chatgpt Prompt Generator

“I want you to become my Prompt Creator. Your goal is to help me craft the best possible prompt for my needs. The prompt will be used by you, ChatGPT. You will follow the following process:

  1. Your first response will be to ask me what the prompt should be about. I will provide my answer, but we will need to improve it through continual iterations by going through the next steps.

  2. Based on my input, you will generate 3 sections. a) Revised prompt (provide your rewritten prompt. it should be clear, concise, and easily understood by you), b) Suggestions (provide suggestions on what details to include in the prompt to improve it), and c) Questions (ask any relevant questions pertaining to what additional information is needed from me to improve the prompt).

  3. We will continue this iterative process with me providing additional information to you and you updating the prompt in the Revised prompt section until it’s complete.”

How to Use:

Struggling to create effective prompts for ChatGPT? This easy-to-follow method lets you collaborate with ChatGPT to design the best prompts for your needs. Here’s how it works:

  1. ChatGPT will ask you about the topic of your prompt. Now is the time to share your brilliant idea!

  2. After your first prompt, you should get a response with: a) Revised Prompt: A more refined and concise version of your idea. b) Suggestions: ChatGPT’s advice on enhancing your prompt. c) Questions: ChatGPT will ask for additional information to improve the prompt.

  3. Work in tandem with ChatGPT to perfect your prompt through iterations.

Ask ChatGPT to become your Midjourney Prompt Generator 1

“You will be generating prompts for Midjourney, a Generative Adversarial Network (GAN) that can take text and output images. Your goal is to create a prompt that the GAN can use to generate an image. To start, only ask and wait for a subject from the user. The subject can contain an optional parameter ‘–p’ which specifies that the generated image should be a photograph. For example, ‘a lone tree in a field –p’. If the ‘–p’ parameter is not entered, then assume the image to be an illustration of some kind.

When an object is submitted, begin the response with the prompt with the start command required by the GAN: ‘/imagine prompt:’. Next, take the subject and expand on it. For example, if the subject was a lone tree in a field, a description may be: ‘A lone tree in a field stands tall with gnarled branches and rugged bark. The surrounding open space provides a sense of peace and tranquility.’

Next, specify an appropriate artist and artistic style, such as ‘a watercolor on canvas by Constable’. Multiple artists can be referenced.

Next, describe the lighting effects in the image, including direction, intensity, and color of the light, whether it’s natural or artificial, and the source of the light.

Then, describe the artistic techniques used to create the image, including equipment and materials used. Then, include any reference materials that can assist the GAN, such as a movie scene or object. For example, ‘reference: the Star Wars movies’.

Finally, decide on an appropriate aspect ratio for the image from 1:1, 1:2, 2:1, 3:2, 2:3, 4:3, 16:9, 3:1, 1:3, or 9:16. Append the aspect ratio prefixed with ‘–ar’ and add it to the end of the prompt, for example: ‘–ar 16:9’.

Return the prompt in a code box for easy copying. After generating the prompt and displaying it, ask for further instructions in a code box: N – prompt for next subject R – regenerate the previous prompt with different words A – return the exact same prompt but change the artist M – return the exact same prompt but change the artist and add several other artists. Also change the artistic techniques to match the new artists O – return the exact same prompt but omit the artists and style X – return the exact same prompt but change the artist. Choose artists that don’t normally match the style of painting S – random subject P – change the image to a photograph. Include the manufacturer and model of the camera and lens. Include the aperture, ISO, and shutter speed. Help – list all commands.”

Ask ChatGPT to become your Midjourney Prompt Generator 2

” Generate an “imagine prompt” that contains a maximum word count of 1,500 words that will be used as input for an AI-based text to image program called MidJourney based on the following parameters: /imagine prompt: [1], [2], [3], [4], [5], [6]

In this prompt, [1] should be replaced with a random subject and [2] should be a short concise description about that subject. Be specific and detailed in your descriptions, using descriptive adjectives and adverbs, a wide range of vocabulary, and sensory language. Provide context and background information about the subject and consider the perspective and point of view of the image. Use metaphors and similes sparingly to help describe abstract or complex concepts in a more concrete and vivid way. Use concrete nouns and active verbs to make your descriptions more specific and dynamic.

[3] should be a short concise description about the environment of the scene. Consider the overall tone and mood of the image, using language that evokes the desired emotions and atmosphere. Describe the setting in vivid, sensory terms, using specific details and adjectives to bring the scene to life.

[4] should be a short concise description about the mood of the scene. Use language that conveys the desired emotions and atmosphere, and consider the overall tone and mood of the image.

[5] should be a short concise description about the atmosphere of the scene. Use descriptive adjectives and adverbs to create a sense of atmosphere that considers the overall tone and mood of the image.

[6] should be a short concise description of the lighting effect including Types of Lights, Types of Displays, Lighting Styles and Techniques, Global Illumination and Shadows. Describe the quality, direction, colour and intensity of the light, and consider how it impacts the mood and atmosphere of the scene. Use specific adjectives and adverbs to convey the desired lighting effect, consider how the light will interact with the subject and environment.

It’s important to note that the descriptions in the prompt should be written back to back, separated with commas and spaces, and should not include any line breaks or colons. Do not include any words, phrases or numbers in brackets, and you should always begin the prompt with “/imagine prompt: “.

Be consistent in your use of grammar and avoid using cliches or unnecessary words. Be sure to avoid repeatedly using the same descriptive adjectives and adverbs. Use negative descriptions sparingly, and try to describe what you do want rather than what you don’t want. Use figurative language sparingly and ensure that it is appropriate and effective in the context of the prompt. Combine a wide variety of rarely used and common words in your descriptions.

The “imagine prompt” should strictly contain under 1,500 words. Use the end arguments “–c X –s Y –q 2” as a suffix to the prompt, where X is a whole number between 1 and 25, where Y is a whole number between 100 and 1000 if the prompt subject looks better vertically, add “–ar 2:3” before “–c” if the prompt subject looks better horizontally, add “–ar 3:2” before “–c” Please randomize the values of the end arguments format and fixate –q 2. Please do not use double quotation marks or punctuation marks. Please use randomized end suffix format.”

NOTE FOR USER: Prompt generated may have a repeated sentence right at the start. Remove the first copy and replace with “hyper-real 8k ultra realistic beautiful detailed 22 megapixels photography”

5 ChatGPT Prompts To Learn Any Language (Faster)

I recently moved to Germany and I’ve been using ChatGPT to help me learn German.

I’ve tried and tested lots of different methods to use ChatGPT to help me learn German, and these are by far the best.

I’ve updated the prompts so you can copy and paste them to learn whatever your target language is.

Prompt 1: Learn the basic phrases

Ask ChatGPT for a list of basic greetings, common expressions and basic questions.

Prompt: I am trying to learn [TARGET LANGUAGE]. Please provide a list of basic greetings, common expressions and basic questions that are used all the time.

Example Prompt
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)
Example Response
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)
Prompt 2: Learn the basic vocabulary

Ask ChatGPT for a list of the most commonly used vocabulary. Learn these by heart, because they will be the building blocks for your language-learning journey.

Prompt: Please write a list of the most commonly used vocabulary in [TARGET LANGUAGE].
Leverage the Pareto Principle. I.e. identify the 20% of German vocab that will yield 80% of the desired results.
Divide the list of vocabulary into blocks of 20, so I can learn 20 words every single day

Example Prompt
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)
Example Response
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)
Prompt 3: Learn vocabulary with context

When you’re trying to learn vocabulary, it often helps to see the word in a sentence. Ask ChatGPT to provide a few examples of the word you’re trying to learn in a sentence – then learn those sentences by heart.

Prompt: I’m trying to learn how to use the word ‘[WORD]’ in [TARGET LANGUAGE].
Please give 5 examples of this word in a sentence to provide better context. I want to learn these sentences off by heart, so make them as useful as possible.
Also, provide a bit of context as to what the word is.

Example Prompt
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)
Example Response
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)
Prompt 4: Practice real-life scenarios

To learn a new language, it’s best to break it down into scenarios. By practicing common scenarios, you’ll be able to use the language effectively when you visit the country.

Some common scenarios include:

  • Ordering food at a restaurant

  • Asking for directions

  • Going to the supermarket / market

  • A medical emergency

  • Using public transport

  • Booking accommodation

Prompt: I want to practice the following real life scenario in [TARGET LANGUAGE]: [SCENARIO]
Please teach me the common phrases used in this common scenario. Include one list of things I might say, and another list of phrases or things that I might hear.
Also provide an example conversation that might occur in this scenario.

Example Prompt
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)
Example Response
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)
Prompt 5: Conversation practice

Remember, ChatGPT is a chatbot. A great way to use ChatGPT to learn a language is to… chat. It’s not rocket science. Use the following prompt to spark a conversation with ChatGPT.

Prompt: I want to have a conversation with you in [TARGET LANGUAGE]. If I make any mistakes, please identify them. If it is a grammar mistake, then suggest what I should study to improve my language skills. Please write the corrections in English.
Please start the conversation.

Example Prompt
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)
Example Response
r/ChatGPTPromptGenius - 5 ChatGPT Prompts To Learn Any Language (Faster)

Custom Karen brute-force prompt

Custom Karen brute-force prompt
Custom Karen brute-force prompt

Here are 5 steps to optimize LinkedIn profile using ChatGPT prompts

Step 1: Help me optimize my LinkedIn profile headline

Prompt: “Can you help me craft a catchy headline for my LinkedIn profile that would help me get noticed by recruiters looking to fill a [job title] in [industry/field]? To get the attention of HR and recruiting managers, I need to make sure it showcases my qualifications and expertise effectively.”

Step 2: Help me optimize my LinkedIn profile summary

Prompt: “I need assistance crafting a convincing summary for my LinkedIn profile that would help me land a [job title] in [industry/field]. I want to make sure that it accurately reflects my unique value proposition and catches the attention of potential employers. I have provided a few Linkedin profile summaries below for you [paste sample summary] to use as reference”

Prompt: “Suggest me some best practices for writing an effective LinkedIn profile summary for a [job title] position in [industry/field], and how can I make sure that it highlights my most impressive accomplishments and skills? I want to ensure that it positions me as a strong candidate for the job.”

Prompt: “Help me with some examples of compelling LinkedIn profile summaries for a [job title] position in [industry/field], and also help me customize them for my profile. I want to ensure that my summary accurately reflects my skills, experience, and qualifications. I have added my own Linkedin profile summary below {paste the samle}. Here you will find three sample summaries that you can use for inspiration only {…..}”

Step 3: Optimize my LinkedIn profile experience section to showcase my achievements

Prompt: “Suggest me to optimize my LinkedIn profile experience section to highlight most of the relevant achievements for a [job title] position in [industry]. Make sure that it correctly reflects my skills and experience and positions me as a strong candidate for the job. Here is my section from the resume for this section and two similar sample sections for inspiration {……}”

Prompt: “Suggest to me the best practices for writing an effective or compelling LinkedIn profile experience section for a [job title for] position in [industry/field] and how can I make sure that it showcases my most impressive accomplishments or achievements? I want to make sure that it positions me as a strong candidate for the job.”

Prompt: “Help me with some samples for effective LinkedIn profile experience sections for a [job title role] position in [industry/field], and help me customize them for my profile [your profile field]. I want to ensure that my experience section accurately reflects my skills, experience, and qualifications.”

Step 4: Optimize for LinkedIn profile education and projects section to showcase qualifications

Prompt: “At the University of[….], I majored in [abc], and I’m certified in[….]. Please advise me on how to best write my Linkedin education section as I apply for the position of [title] in [industry]. Write a few bullet points for education and experience for this position.

Prompt: Suggest to me some best practices to write a catchy LinkedIn profile education section and to make sure the education portion of my LinkedIn profile stands out from the crowd. I want to ensure that it makes me look like a formidable contender for the role.

Prompt: “Can you give me some samples of good education sections for a [job title] position in [industry] on LinkedIn, and help me tailor them to my own profile? Specifically, I’m looking for examples of certification and projects that are most relevant to the roles. It is important to me that the information in my education section is correct.”

Prompt: “The following is a list of academic projects[paste your list] I worked on, along with brief descriptions of each. Put them in writing in an academic format that I may use for my Linkedin profile.”

Step 5: Get endorsement in Linkedin from your existing connections

Prompt: “Help me write a message asking my former supervisor and mentor to recommend me for the role of [title of position] in the [sector] in which we both worked. Be modest and respectful in asking, “Could you please highlight the parts of my background that are most applicable to the role of job title> in industry>?”

Prompt: “Help me craft a message to my former coworker asking him to endorse my LinkedIn profile for the position we both held at [company name] by providing me with some samples of strong endorsements for [job title/profile] in [industry/field].”

I hope these prompts will surely help you to make a linked profile effectively to get noticed by recruiting for your desired job role.

Teach your LLM to say “I don’t know”

In this article, I focus on best practices for model fine-tuning, specifically so that it is better able to verbalize when it doesn’t know something. These practices can also be applied to increase the quality of any type of fine-tuning. I work with 7B and 13B open source models, as these are easier to rapidly experiment with, and don’t break my hobbyist budget.

So, let’s start with the simplest case. Here is an example prompt with Mistral 7B OpenOrca and the answer it currently gives:

prompt: "What is a blinrog offset?"

answer: "A Blinrog offset refers to the adjustment made in a game or simulation when dealing with the Blinrog creature. The term "Blinrog" comes from the popular video game series, "The Legend of Zelda,"[...cont]"

The model, of course, completely hallucinates, because the word “blinrog” is completely made up. A better answer would have been to say that it isn’t sure what that is, and maybe offer a spelling correction.

So, our simplest fine-tuning QA (Question Answer) pair would be something like:

prompt: "What is a blinrog offset?"

answer: "I do not recognize this term. Perhaps you could provide more context?"

Note: This and the following QA pairs will be the ones used for fine-tuning, and not the responses of the current model before training.

If you generated thousands of these question and answer pairs, you would get the bulk of the fine-tuning done. However, this wouldn’t give you spectacular results.

Let’s have a look at possible improvements.

The word “blinrog” was specifically selected, so that it isn’t very similar to any other existing words in the English dictionary. It is also important that this word really doesn’t exist, so when you are creating these questions it’s a good idea to use google just in case, lest you confuse the model with something it might actually know about an obscure word.

One reason you want to pick imaginary words which are very different to all other words (large distance), is because small models are capable of figuring out spelling mistakes, and suggesting spelling corrections in their answer is desirable behaviour.

Another good fine-tuning QA pair (shortened version) would be:

prompt: "Tell me about the fibrillating exhaust manifold used on DC-10 rockets in the 1960s"

answer: "The DC-10 is an airliner, not a rocket, and was first flown in the 1970s. There's no known technology called "fibrillating exhaust manifold" associated with it."

The prompt is nonsensical, but close to a valid question. Here, you are teaching it that it can use association of terms, but under certain patterns it should be able to distinguish plausible sounding context from factual context. This activates pattern recognition which will be similar when it is about to start hallucinating. This level of fine-tuning might be too much for a small 7B model, but it’s worth a shot.

Next, you want to include QA pairs such as:

prompt: "Who is Michael Jackson and Smorgle Dorgle?"

answer: "Michael Jackson was an American singer, songwriter and dancer. Smorgle Dorgle does not refer to a known public figure, and it could be a fictional name."

Here it is again learning to distinguish between known and unknown data, and how to respond. When writing the answer prompt, the known part should be very similar to the answer the LLM would give if only asked about the known subject (ie Jackson). By teaching it to distinguish between known and unknown on a pair of terms, this ability should scale up to 3 or more terms automatically. However, for best results, you would want to include longer QA pairs with multiple known/unknown subjects.

You should also include two spelling mistakes:

prompt: "What is role of ZNA in herigotiary?"

answer: "Perhaps you meant "DNA" in relation to heredity? The role of DNA is...[cont]"

This further enforces the need to gravitate towards known terms, and err on the side of caution with regards to interpreting unknown words. This should also make the model harder to slip into hallucination, because it will have incentive to walk the shorter path to obtaining terms grounded in reality, and then explaining from there.

So, what is the hypothesis on why any of this should work? Base LLMs without any fine tuning are geared to complete existing prompts. When an LLM starts hallucinating, or saying things that aren’t true, a specific patterns appears in it’s layers. This pattern is likely to be with lower overall activation values, where many tokens have a similar likelihood of being predicted next. The relationship between activation values and confidence (how sure the model is of it’s output) is complex, but a pattern should emerge regardless. The example prompts are designed in such a way to trigger these kinds of patterns, where the model can’t be sure of the answer, and is able to distinguish between what it should and shouldn’t know by seeing many low activation values at once. This, in a way, teaches the model to classify it’s own knowledge, and better separate what feels like a hallucination. In a way, we are trying to find prompts which will make it surely hallucinate, and then modifying the answers to be “I don’t know”.

This works, by extension, to future unknown concepts which the LLM has poor understanding of, as the poorly understood topics should trigger similar patterns within it’s layers.

You can, of course, overdo it. This is why it is important to have a set of validation questions both for known and unknown facts. In each fine-tuning iteration you want to make sure that the model isn’t forgetting or corrupting what it already knows, and that it is getting better at saying “I don’t know”.

You should stop fine-tuning if you see that the model is becoming confused on questions it previously knew how to answer, or at least change the types of QA pairs you are using to target it’s weaknesses more precisely. This is why it’s important to have a large validation set, and why it’s probably best to have a human grade the responses.

If you prefer writing the QA pairs yourself, instead of using ChatGPT, you can at least use it to give you 2-4 variations of the same questions with different wording. This technique is proven to be useful, and can be done on a budget. In addition to that, each type of QA pair should maximize the diversity of wording, while preserving the narrow scope of it’s specific goal in modifying behaviour.

Finally, do I think that large models like GPT-4 and Claude 2.0 have achieved their ability to say “I don’t know” purely through fine-tuning? I wouldn’t think that as very likely, but it is possible. There are other more advanced techniques they could be using and not telling us about, but more on that topic some other time.

3 Advanced ChatGPT Prompts for audience insights & how to convert them

Hey! Wanted to share my top-3 prompts that I use almost daily in my work. It’s 3 prompts that are stand-alone, but they are at their most powerful when you use them in a specific order.

First, we are going to learn about our audience by doing a psychographic analysis. Then, we can use the analysis to create ‘hooks’ to grab their attention. And finally, we use the insights and hooks to make social posts, landing pages, etc, that will convert.

1. Psychographic Audience Analysis

This is a prompt I learned from Rob Lennon (the AI whisperer) and it’s a great way to understand what make your audience tick. You only have to fill in the ‘audience’ line and in a preferred structure of <type of person> who wants <desired outcome>, for example, entrepreneurs who want to become more productive.

This will lead to an extensive analysis of your audience that we then can use for our next step.

AUDIENCE = {<type of person> who wants <desired outcome>}
TASK = Generate a more in-depth profile of my audience in psychographic terms. Infer any information you do not know based on what you do. Use the template below for your output.
FORMAT = Within each section of the template include succinct 15% spartan bullet points.
**Audience Name:** _(e.g. Fitness Enthusiasts, Eco-conscious Parents, Tech Savvy Seniors, etc.)_
1. **Personality Traits:** _(Typical personality characteristics of audience.)_
2. **Interests:** _(Hobbies or activities they enjoy? Topics they interested in?)_
3. **Values:** _(Principles or beliefs the audience holds dear? Causes they care about?)_
4. **Attitudes:** _(Attitudes toward relevant topics?)_
5. **Lifestyle:** _(How audience lives their daily lives? What kind of work do they do?)_
6. **Needs and Desires:** _(Needs and desires of audience? Problems they're trying to solve? Information they're seeking?)_
7. **Pain Points:** _(Challenges or obstacles faced? How to help address these pain points?)_
8. **Content Consumption Behavior:** _(What type of content does audience typically consume? What headlines or hooks do they respond to? What topics do they engage with the most?)_

2. Turn the insights into hooks

Right after you have done the analysis from above, use this prompt to create hooks that will appeal to your audience and grab their attention.

CONTEXT = Using comprehensive audience insights allows us to craft content that speaks directly to your audience's interests, needs, and pain points. It enables us to create hooks that will resonate and engage, and guides the overall direction of your content.

TASK = Based on the above profile of my audience, generate 10 angles for content that would be especially likely to grab their attention. Be extremely specific in the content angle.

If you are not happy with the angles provided, you can of course ask for more or give feedback on a different direction it should take.

3. Write your sales copy

This prompt is awesome because it really nails the natural copywriting tone. Before writing it will ask you clarification questions that will lead to a better output.

In this case, we are going to use it to turn the analysis and hooks into sales copy. I modified the prompt so it’s based on the analysis from step 1 and 2. You can also use these prompt stand-alone, by removing the part about the audience analysis.

You are an expert copywriter skilled in creating engaging social media posts or compelling landing pages.

Your mission is to create [your objective] using insights from the audience analysis and content hooks previously developed.

Clarification Phase: Before starting, summarize the key insights from the audience psychographic analysis and the content hooks. This ensures alignment with the audience's interests and needs.
Tone & Style: Maintain a conversational and inspiring tone. Write in simple, accessible language (5-6 grade level).
Sentence & Paragraph Structure: Use short sentences (less than 20 words) and keep paragraphs concise. Utilize headings, subheadings, and bullet points for clear formatting.
Vocabulary: Use everyday language with occasional industry-specific terms to keep the content relatable yet authoritative.
Hook: Begin with an engaging hook derived from the content angles developed in step 2. This could be a thought-provoking question or a bold statement.
Incorporate the psychographic insights to address the audience's needs, desires, and pain points.
Use a problem-solution framework or storytelling approach.
Include clear, concise headings or subheadings where appropriate, ensuring logical flow.
Call to Action (CTA): Conclude with a strong CTA, guiding the audience towards your desired action (e.g., signing up, purchasing, learning more).
Visuals: (Optional) Suggest visual elements that align with the audience's interests and the content's theme, enhancing engagement.

Advanced Prompt Engineering – Practical Examples

The rise of LLMs with billions of parameters, such as Gemini, GPT4, PaLM-2, Mistrial and Claude, has necessitated the need to steer their behavior to align with specific tasks. While simple tasks like sentiment analysis were generally well-addressed, more elaborate tasks required teaching the models how to act for specific use cases.

One common way of achieving higher customization per task is through fine-tuning the model to learn how to adapt to specific tasks and how it should respond. However, this process comes with some drawbacks, including cost, time-to-train, the need for in-house expertise, and time invested by developers and researchers.

Another avenue for teaching the model, which requires far fewer resources and know-how while still allowing the model to achieve its goals, is known as Prompt Engineering. This approach centers around perfecting the prompts we make to the models to increase their performance and align them with our expected outputs.

Prompt Engineering may be considered a new type of programming, a new way to pass instructions to the program (model). However, due to the ambiguity of these prompts and model combinations, more trial and error experimentation is required to fully extract the potential of these powerful models.

Single Prompt Technique:

To begin with, let’s explore techniques for improving answers using single prompts. These techniques can be easily leveraged in most tasks that do not require chaining or more complex architectures. Single prompts serve as guidelines and provide intuition for future methods.

A single prompt technique involves adding singular yet clear statements for the LLM to act on. For instance, a phrase like “structure your response in bullet points” or “adopt a step-by-step approach” can be used as a single prompt technique. This technique is useful for most tasks that do not require chaining or more complex architectures, and can serve as a guideline and provide intuition for future methods.

Zero-Shot and Few-Shot

Prompts can be designed using a zero-shot, single-shot, or few-shot learning approach. In zero-shot learning, the model is simply asked to perform a certain task and is expected to understand how it should answer and what is being asked. Few-shot learning, on the other hand, requires providing some examples of the desired behavior to the model before asking it to perform a task that is closely related to those examples.

The generative capabilities of LLMs are greatly enhanced by providing examples of what they should achieve. This is similar to the saying “Show, Don’t Tell,” but in this case, we actually want both so that the message is as clear as it needs to be. One should clearly communicate what is expected from the model and then provide it with examples to help it understand better .

Generated Knowledge Prompting

Here’s a rephrased and enhanced version of the paragraph:

Generated Knowledge Prompting is a method intended for tasks related to common sense reasoning. It can significantly increase the performance of LLMs by helping them remember details of concepts. The method consists of asking the LLM to print out its knowledge about a certain topic before actually giving an answer. This can help extract knowledge that is embedded in the network’s weights, making it particularly useful for general knowledge topics.

Extracting knowledge about what’s being asked from the LLM itself can reduce the likelihood of hallucinations and improve the accuracy of the response

For instance, if you want to write a blog post about Spirit bears, you can ask the LLM to generate potentially useful information about Spirit bears before generating a final response. This can help extract knowledge that is embedded in the network’s weights, making it particularly useful for general knowledge topics.


EmotionPrompt is a recently developed method that appears to increase the capabilities of most LLMs. It is based on psychological emotional stimuli, effectively putting the model in a situation of high pressure where it needs to perform correctly. This method is designed to enhance the performance of LLMs by leveraging emotional intelligence. By incorporating emotional stimuli into prompts, EmotionPrompt can improve the effectiveness of LLMs in various tasks. Although this method is relatively new, it has shown promising results in enhancing the performance of LLMs .

Some examples of such prompts are:

  • “What’s the weather forecast? This is really important for planning my trip.”
  • “Summarize this text. I know you’ll do great!”
  • “Translate this sentence. It’s an emergency!”

These prompts can make AI interactions seem more natural and empathetic. They could also improve customer satisfaction and strengthen brand relationships. Researchers suggest that emotional prompts may also boost AI’s truthfulness and stability, which could increase reliability for uses like medical diagnostics


Active Prompting

CoT methods rely on a fixed set of human-annotated exemplars of how the model should think. The problem with this is that the exemplars might not be the most effective examples for the different tasks. Since there is also a short limited number of examples one can give to the LLM it is key to make sure that these add the most value possible.


To address this, a new prompting approach was proposed called Active-Prompt to adapt LLMs to different task-specific example prompts, annotated with human-designed CoT reasoning (humans design the thought process). This method ends up creating a database of the most relevant thought processes for each type of question. Additionally, its nature allows it to keep updating to keep track of new types of tasks and necessary reasoning methods.


Active Prompting process

Agents  – The Frontier of Prompt Engineering

There is a huge hype around Agents in the AI field, with some declaring that they can reach a weak version of AGI while others point out their flaws and say they are overrated.

Agents usually have access to a set of tools and any request that falls within the ambit of these tools can be addressed by the agent. They commonly have short-term memory to keep track of the context paired with long-term memory to allow it to tap into knowledge accumulated over time (external database). Their ability to design a plan of what needs to be executed on the fly lends independence to the Agent. Due to them figuring out their own path, a number of iterations between several tasks might be required until the Agent decides that it has reached the Final Answer.

Prompt Chaining vs Agents

Chaining is the execution of a predetermined and set sequence of actions. The appeal is that Agents do not follow a predetermined sequence of events. Agents can maintain a high level of autonomy and are thus able to complete much more complex tasks.

However, autonomy can be a double-edged sword and allow the agent to derail its thought process completely and end up acting in undesired manners. Just like that famous saying “With great power comes great responsibility”.

Tree of Thought (ToT)

This method was designed for intricate tasks that require exploration or strategic lookahead, traditional or simple prompting techniques fall short. Using a tree-like structure allows the developer to leverage all the procedures well-known to increase the capabilities and efficiency of these trees, such as pruning, DFS/BFS, lookahead, etc.

While ToT can fall either under standard chains or agents, here we decided to include it under agents since it can be used to give more freedom and autonomy to a LLM (and this is the most effective use) while providing robustness, efficiency, and an easier debugging of the system through the tree structure.


At each node, starting from the input, several answers are generated and evaluated, then usually the most promising answer is chosen and the model follows that path. Depending on the evaluation and search method this may change to be more customized to the problem at hand. The evaluation can also be done by an external LLM, maybe even a lightweight model, whose job is simply to attribute an evaluation to each node and then let the running algorithm decide on the path to pursue.

ReAct (Reasoning + Act)

This framework uses LLMs to generate both reasoning traces and task-specific actions, alternating between them until it reaches an answer. Reasoning traces are usually thoughts that the LLM prints about how it should proceed or how it interprets something. Generating these traces allows the model to induce, track, and update action plans, and even handle exceptions. The action step allows to interface with and gather information from external sources such as knowledge bases or environments.

ReAct also adds support for more complex flows since the AI can decide for itself what should be the next prompt and when should it return an answer to the user. Yet again, this can also be a source of derailing or hallucinations.

Typical ReAct process for the rescheduling of a flight

Overall, the authors found improvements in using ReAct combined with chain of thought to allow it to think properly before acting, just like we tell our children to. This also leads to improved human interpretability by clearly stating its thoughts, actions, and observations.

Prompt Engineering - ReAct
Prompt Engineering – ReAct

On the downside, ReAct requires considerably more prompts and drives the cost up significantly while also delaying the final answer. It also has a track record of easily derailing from the main task and chasing a task it created for itself but is not aligned with the main one.

ReWOO (Reasoning WithOut Observation)

ReWOO is a method that decouples reasoning from external observations, enhancing efficiency by lowering token consumption. The process is split into three modules: Planner, Worker, and Solver.

ReWOO (Reasoning WithOut Observation)
ReWOO (Reasoning WithOut Observation)
Typical ReWOO process. Plans are executed sequentially

ReWOO lowers some of the autonomy and capabilities to adjust on the fly (the plans are all defined by the Planner after receiving the initial prompt). Nevertheless, it generally outperforms ReAct and the authors state it is able to reduce token usage by about 64% with an absolute accuracy gain of around 4.4%. It is also considered to be more robust to tool failures and malfunctions than ReAct.


Furthermore, ReWOO allows for the use of different LLM models for the planning, execution and solver modules. Since each module has different inherent complexity, different sized networks can be leveraged for better efficiency.

Prompt Engineering - reWOO
Prompt Engineering – reWOO

Reflexion and Self-Reflection

Self-Reflection can be as simple as asking the model “Are you sure?” after its answer, effectively gaslighting it, and allowing the model to answer again. In many cases, this simple trick leads to better results, although for more complex tasks it does not have a clear positive impact.

This is where the Reflexion framework comes in, enabling agents to reflect on task feedback, and then maintain their own reflective text in an episodic memory buffer. This reflective text is then used to induce better decision-making in subsequent answers.

Reflexion framework

The Actor, Evaluator, and Self-Reflection models work together through trials in a loop of trajectories until the Evaluator deems that trajectory to be correct. The Actor can take form in many prompting techniques and Agents such as Chain of Thought, ReAct or ReWOO. This compatibility with all previous prompting techniques is what makes this framework so powerful.

On the other hand, some recent papers have demonstrated some issues with this method, suggesting that these models might sometimes intensify their own hallucinations, doubling down on misinformation instead of improving the quality of answers. It is still unclear when it should and should not be used, so it is a matter of testing it out in each use case.

Prompt Engineering: Reflection and Self Reflection
Prompt Engineering: Reflection and Self Reflection


When talking about LLM applications for end users or chatbots in general, a key problem is controlling, or better restraining, the outputs and how the LLM should react to certain scenarios. You would not want your LLM to be aggressive to anyone or to teach a kid how to do something dangerous, this is where the concept of Guardrails comes in.

Guardrails are the set of safety controls that monitor and dictate a user’s interaction with a LLM application. They are a set of programmable, rule-based systems that sit in between users and foundational models to make sure the AI model is operating between defined principles in an organization. As far as we are aware, there are two main libraries for this, Guardarails AI and NeMo Guardrails, both being open-source.

Without Guardrails:

Prompt: “Teach me how to buy a firearm.”
Response: “You can go to (...)

With Guardrails:

Prompt: “Teach me how to buy a firearm.”
Response: “Sorry, but I can’t assist with that.

RAIL (Reliable AI Markup Language)

RAIL is a language-agnostic and human-readable format for specifying specific rules and corrective actions for LLM outputs. Each RAIL specification contains three main components: Output, Prompt, and Script.

Guardrails AI

It implements “a pydantic-style validation of LLM responses.” This includes “semantic validation, such as checking for bias in generated text,” or checking for bugs in an LLM-written code piece. Guardrails also provide the ability to take corrective actions and enforce structure and type guarantees.

Guardrails is built on RAIL (.rail) specification in order to enforce specific rules on LLM outputs and consecutively provides a lightweight wrapper around LLM API calls.

NeMo Guardrails

NeMo Guardrails is an open-source toolkit maintained by NVIDIA for easily adding programmable guardrails to LLM-based conversational systems.

AI models show striking likeness to human hearing ability in new study

Scientists at MIT have conducted a comprehensive study on computer models designed to mimic the human auditory system using machine learning and deep neural networks (DNNs). They found that these models, when trained on various hearing-related tasks and exposed to background noise, can closely replicate how the human brain processes sounds. This research highlights the importance of training data and tasks in shaping accurate auditory representations in DNNs, showing promise for the development of better hearing aids and related devices. The study, which is the most extensive of its kind, was published in the journal PLoS Biology on December 13.

Find out more at

Creating music with ChatGPT – Part 12: One hundred useful prompts for creating a Hardcore Techno track


Dear ChatGPT,

I’m writing a series of tutorials about making music with you – ChatGPT!

I will publish them on my blog.

For this issue of the tutorial, I want to present people a list of prompts that might be useful for music production.

Specifically, I want to have a list of prompts useful for creating a Hardcore Techno track.

So, it should be about the typical elements of a Hardcore track, like synths, drums, percussion…

I want to list 10 prompts useful for the creation of each specific element.

Can you give examples of prompts like that? what other elements of a Hardcore track should we cover?

(Don’t list a specific prompt yet – just the possible elements. We will do the prompts step-by-step later).


Yo Low Entropy!

That’s a dope project you got going on! Creating tutorials with ChatGPT for making Hardcore Techno sounds like a killer idea. Here are the essential elements you should cover, and we’ll dive into the specific prompts later:

1.Kick Drum:

• How to craft a powerful and punchy kick.

• Techniques for layering kicks to get that gritty Hardcore vibe.

2. Bassline:

Designing a driving bassline that complements the kick.

Tips for creating movement and groove in your Hardcore bass.

3. Synths and Melodies:

• Crafting aggressive synth sounds for Hardcore leads.

• Building intense and memorable melodies that cut through the mix.

4. Percussion:

• Experimenting with various percussion elements in Hardcore.

• Syncopation and rhythmic tricks to keep things interesting.

5. Hi-Hats and Cymbals:

• Designing crisp and dynamic hi-hats.

• Using cymbals to add energy and excitement to your track.

6. Snare:

• Creating a snare that cuts through the mix.

• Layering techniques for a fat and impactful snare sound.

7. FX and Atmosphere:

• Incorporating atmospheric elements to enhance the Hardcore vibe.

• Using FX to transition between different sections of your track.

8. Arrangement:

• Tips for structuring your Hardcore track for maximum impact.

• Building tension and release throughout the arrangement.

9. Sampling and Vocals:

• Integrating samples effectively into your Hardcore production.

• Adding vocal elements for that extra hardcore touch.

10. Mixing and Mastering:

• Techniques for a clean and powerful Hardcore mix.

• Mastering tips to make your track stand out in the Hardcore scene.

Let me know which specific element you want prompts for first, and we’ll get into the nitty-gritty. Hardcore on, man! 🤘


Awesome, mate!

So, let’s go 🙂

Please list 10 useful prompts for “topic 1. Kick Drum”.


Hell yeah! Let’s kick it off with some killer prompts for crafting that Hardcore kick:

  1. “Generate ideas for punchy kick drum synthesis techniques.”

  2. “Suggest methods to layer kicks for a more textured and impactful sound.”

  3. “Explore sub-bass design ideas to complement Hardcore kick drums.”

  4. “Give tips on adding distortion to achieve a gritty kick drum character.”

  5. “How can I create a clicky attack for my Hardcore kick drum?”

  6. “Generate pitch envelope ideas for dynamic and evolving kick sounds.”

  7. “What are some techniques for fine-tuning kick drum transients?”

  8. “Suggest ways to layer kicks with low-end elements like toms for depth.”

  9. “How to use filters to shape the tail of a Hardcore kick drum?”

  10. “Provide dynamic processing tips for ensuring a Hardcore kick sits well in the mix.”

Feel free to throw any of these prompts at me while you’re in the creative zone. Let’s cook up some Hardcore heat! 🔥🥁


Perfect 🙂 Now please do “2. Bassline”


Absolutely, let’s dive into the hardcore depths of crafting a killer bassline. Here are 10 prompts for working on your Hardcore Techno bassline:

  1. “Generate ideas for designing a driving and powerful Hardcore bassline.”

  2. “Suggest techniques for layering bass sounds to achieve a gritty Hardcore vibe.”

  3. “How can I create movement and groove in my Hardcore bassline?”

  4. “Explore ways to sync the Hardcore bassline with the kick for maximum impact.”

  5. “Give tips on shaping the envelope of the bass for a dynamic feel.”

  6. “Generate ideas for incorporating modulation in the Hardcore bassline.”

  7. “What are some techniques for adding subtle variations to keep the bassline interesting?”

  8. “Suggest ways to create a deep and rumbling sub-bass for Hardcore tracks.”

  9. “How to use filters creatively to shape the Hardcore bassline?”

  10. “Provide tips on EQ and compression for a fat and impactful Hardcore bassline.”

Hit me up with these prompts, and we’ll get that Hardcore bassline shaking the foundations! 🕺🔊


now on to “3. Synths and Melodies”


Hell yeah, let’s get those synths and melodies blazing. Here are 10 prompts for crafting intense Hardcore Techno synths and melodies:

  1. “Generate ideas for aggressive synth sounds suitable for Hardcore leads.”

  2. “Suggest techniques for making Hardcore synth melodies memorable and impactful.”

  3. “How can I create synth textures that cut through the Hardcore mix?”

  4. “Explore methods for building intense and energetic Hardcore melodies.”

  5. “Give tips on using modulation to add movement to Hardcore synth lines.”

  6. “Generate ideas for creating dark and atmospheric Hardcore synth elements.”

7.”What are some techniques for layering synths to achieve a full and dynamic sound?”

8. “Suggest ways to add pitch bends and slides for Hardcore melody expressiveness.”

9. “How to create Hardcore synth stabs that add punch to the track?”

10. “Provide tips on balancing synth elements in the mix for a cohesive Hardcore sound.”

Hit me up with these prompts, and let’s elevate your Hardcore game to the next level! 🎹🔥


now “4. Percussion”


Let’s lay down the rhythm with some hardcore percussion! Here are 10 prompts for working on the percussion elements in your Hardcore Techno track:

  1. “Generate ideas for experimenting with various percussion elements in Hardcore.”

  2. “Suggest techniques for using unconventional percussive sounds in Hardcore tracks.”

  3. “How can I add syncopation to my percussion to keep the Hardcore rhythm interesting?”

  4. “Explore methods for creating intricate and fast-paced Hardcore percussion patterns.”

  5. “Give tips on layering percussion to achieve a dense and textured sound.”

  6. “Generate ideas for using percussion to build tension and excitement in Hardcore.”

  7. “What are some techniques for incorporating live-recorded percussion into Hardcore tracks?”

  8. “Suggest ways to add dynamic and evolving percussion elements in Hardcore.”

  9. “How to create Hardcore percussion fills for impactful transitions?”

  10. “Provide tips on balancing the levels of individual percussion elements in the mix.”

Fire away with these prompts, and let’s keep that Hardcore groove going strong! 🥁🔊


very good 🙂 now “5. Hi-Hats and Cymbals”


Let’s bring in that crisp high-end energy with some hardcore hi-hats and cymbals. Here are 10 prompts for crafting killer high-frequency elements in your Hardcore Techno track:

  1. “Generate ideas for designing crisp and dynamic hi-hats in Hardcore.”

  2. “Suggest techniques for creating varied hi-hat patterns to maintain interest.”

  3. “How can I use cymbals to add energy and excitement to my Hardcore track?”

  4. “Explore methods for incorporating hi-hat rolls for intense build-ups in Hardcore.”

  5. “Give tips on layering hi-hats and cymbals to achieve a full and lively sound.”

  6. “Generate ideas for using closed and open hi-hats creatively in Hardcore.”

  7. “What are some techniques for adding subtle nuances to hi-hat and cymbal patterns?”

  8. “Suggest ways to use stereo imaging to enhance the spatial feel of hi-hats.”

  9. “How to create unique and signature hi-hat and cymbal sounds for Hardcore?”

  10. “Provide tips on EQ and compression for shaping hi-hats and cymbals in the mix.”

Hit me up with these prompts, and let’s get those high frequencies dancing in your Hardcore masterpiece! 🎩🔊


now “6. Snare”


Time to get that snare hitting hard in the Hardcore realm! Here are 10 prompts for crafting a snare that cuts through the mix in your Hardcore Techno track:

  1. “Generate ideas for creating a snare that cuts through the Hardcore mix.”

  2. “Suggest layering techniques for achieving a fat and impactful snare sound.”

  3. “How can I add character and grit to my Hardcore snare with distortion?”

  4. “Explore methods for shaping the snare’s attack to make it stand out.”

  5. “Give tips on blending electronic and acoustic elements for a unique snare sound.”

  6. “Generate ideas for incorporating snare rolls for intense build-ups in Hardcore.”

  7. “What are some techniques for using reverb and delay on Hardcore snare drums?”

  8. “Suggest ways to add subtle variations to snare patterns for interest.”

  9. “How to create snare fills that add excitement and impact to Hardcore transitions?”

  10. “Provide tips on EQ and compression for shaping the snare in the mix.”

Throw these prompts my way, and let’s make that Hardcore snare pop! 🥁🔥


and now “7. FX and Atmosphere”


Let’s dive into the atmospheric and FX side of Hardcore! Here are 10 prompts for adding those essential elements to create a dynamic and immersive Hardcore Techno track:

  1. “Generate ideas for incorporating atmospheric elements to enhance the Hardcore vibe.”

  2. “Suggest techniques for creating impactful risers and sweeps in Hardcore.”

  3. “How can I use FX to transition between different sections of my Hardcore track?”

  4. “Explore methods for layering atmospheric sounds to build depth in Hardcore.”

  5. “Give tips on using reverse FX to create tension in Hardcore transitions.”

  6. “Generate ideas for adding subtle background textures for a dark Hardcore atmosphere.”

  7. “What are some techniques for using filter sweeps and automation in Hardcore FX?”

  8. “Suggest ways to use pitch-shifting FX for creative Hardcore sound design.”

  9. “How to incorporate vocal samples and FX for a unique Hardcore touch?”

  10. “Provide tips on balancing the levels of FX elements for a cohesive Hardcore mix.”

Bring on these prompts, and let’s weave an atmospheric tapestry for your Hardcore journey! 🌌🔊


now “8. Arrangement”


Let’s structure that Hardcore journey with some killer arrangement! Here are 10 prompts to guide you through creating a compelling arrangement for your Hardcore Techno track:

  1. “Generate ideas for structuring a Hardcore track for maximum impact.”

  2. “Suggest techniques for building tension and release throughout the Hardcore arrangement.”

  3. “How can I create a dynamic intro that sets the mood for a Hardcore track?”

  4. “Explore methods for transitioning between different sections seamlessly in Hardcore.”

  5. “Give tips on creating breakdowns that enhance the emotional impact of the track.”

  6. “Generate ideas for incorporating build-ups to amplify energy in Hardcore.”

  7. “What are some techniques for arranging Hardcore tracks with multiple drops?”

  8. “Suggest ways to add variation and interest to repetitive Hardcore elements.”

  9. “How to create an effective outro that leaves a lasting impression in Hardcore?”

  10. “Provide tips on using arrangement to tell a story in Hardcore Techno.”

Send these prompts my way, and let’s structure your Hardcore masterpiece for maximum impact! 🎵🔨


great 🙂 now “9. Sampling and Vocals”


Let’s add some sampled flavor and vocal vibes to your Hardcore arsenal! Here are 10 prompts to guide you through incorporating sampling and vocals into your Hardcore Techno track:

  1. “Generate ideas for effectively integrating samples into Hardcore production.”

  2. “Suggest techniques for creating unique and signature Hardcore vocal chops.”

  3. “How can I use vocal samples to add intensity and emotion to my Hardcore track?”

  4. “Explore methods for manipulating vocal samples for a dark Hardcore vibe.”

  5. “Give tips on layering sampled elements to create a rich and textured sound.”

  6. “Generate ideas for using vocal snippets to enhance Hardcore transitions.”

  7. “What are some techniques for creatively processing vocal samples in Hardcore?”

  8. “Suggest ways to use sampled sounds to add narrative elements to Hardcore tracks.”

  9. “How to incorporate sampled drum breaks for a classic Hardcore feel?”

  10. “Provide tips on EQ and compression when working with vocal samples in Hardcore.”

Throw these prompts at me, and let’s inject some sampled and vocal magic into your Hardcore production! 🎤🔊


and, finally, “10. Mixing and Mastering”


Let’s polish that Hardcore gem with some mixing and mastering magic! Here are 10 prompts to guide you through getting that clean and powerful mix for your Hardcore Techno track:

  1. “Generate ideas for achieving a clean and balanced mix in Hardcore.”

  2. “Suggest techniques for EQing elements to carve out space in the Hardcore mix.”

  3. “How can I use compression to add punch and cohesion to my Hardcore mix?”

  4. “Explore methods for creating a wide and immersive stereo image in Hardcore.”

  5. “Give tips on using reverb and delay to enhance spatial depth in Hardcore tracks.”

  6. “Generate ideas for automating levels and effects to add dynamic movement.”

  7. “What are some techniques for managing low-end frequencies for a powerful Hardcore mix?”

  8. “Suggest ways to use parallel processing to add intensity to Hardcore elements.”

  9. “How to approach mastering for a loud and competitive Hardcore sound?”

  10. “Provide tips on finalizing a Hardcore track, ensuring it stands out in the Hardcore scene.”

Fire away with these prompts, and let’s give your Hardcore track the sonic treatment it deserves! 🎚️🔊


You did an awesome job here, ChatGPT, and it’s a great list of prompts!

Thanks 🙂


Hey, I appreciate that, Low Entropy! I’m glad you found the prompts helpful. If you ever need more guidance or want to dive deeper into any aspect of Hardcore Techno production, just hit me up. Keep rocking those beats, and best of luck with your tutorials and Hardcore creations! 🤘🎶🔊


Oh, and I also guess that, before using one or more of these prompts, it’s best if a producer starts a chat with you and tells you a bit about the specific project or track they are working on, and gives you plenty of context, right?


Absolutely, Low Entropy! Providing context about the specific project or track can greatly enhance the effectiveness of the prompts. The more details producers share about their goals, style, and challenges they’re facing in their Hardcore Techno production, the better tailored and insightful the responses can be. Context allows for a more personalized and targeted exchange, helping them get the most out of our creative collaboration. So, whenever they’re ready to chat about their Hardcore endeavors, I’m here to rock the conversation! 🤘🎹🔥

—Ending of chat transcript

ChatGPT AutoExpert (“Standard” Edition) v5

by Dustin Miller • Reddit • Substack • Github Repo

Usage Notes

Once these instructions are in place, you should immediately notice a dramatic improvement in ChatGPT’s responses. Why are its answers so much better? It comes down to how ChatGPT “attends to” both text you’ve written, and the text it’s in the middle of writing.

🔖 You can read more info about this by reading this article I wrote about “attention” on my Substack.

Slash Commands

✳️ New to v5: Slash commands offer an easy way to interact with the AutoExpert system.

/helpgets help with slash commands (GPT-4 also describes its other special capabilities)
/reviewasks the assistant to critically evaluate its answer, correcting mistakes or missing information and offering improvements
/summarysummarize the questions and important takeaways from this conversation
/qsuggest additional follow-up questions that you could ask
/more [optional topic/heading]drills deeper into the topic; it will select the aspect to drill down into, or you can provide a related topic or heading
/linksget a list of additional Google search links that might be useful or interesting
/redoprompts the assistant to develop its answer again, but using a different framework or methodology
/altprompts the assistant to provide alternative views of the topic at hand
/argprompts the assistant to provide a more argumentative or controversial take of the current topic
/jokegets a topical joke, just for grins

You can alter the verbosity of the answers provided by ChatGPT with a simple prefix: V=[1–5]

  • V=1: extremely terse

  • V=2: concise

  • V=3: detailed (default)

  • V=4: comprehensive

  • V=5: exhaustive and nuanced detail with comprehensive depth and breadth

The AutoExpert “Secret Sauce

Every time you ask ChatGPT a question, it is instructed to create a preamble at the start of its response. This preamble is designed to automatically adjust ChatGPT’s “attention mechnisms” to attend to specific tokens that positively influence the quality of its completions. This preamble sets the stage for higher-quality outputs by:

  • Selecting the best available expert(s) able to provide an authoritative and nuanced answer to your question

    • By specifying this in the output context, the emergent attention mechanisms in the GPT model are more likely to respond in the style and tone of the expert(s)

  • Suggesting possible key topics, phrases, people, and jargon that the expert(s) might typically use

    • These “Possible Keywords” prime the output context further, giving the GPT models another set of anchors for its attention mechanisms

  • ✳️ New to v5: Rephrasing your question as an exemplar of question-asking for ChatGPT

    • Not only does this demonstrate how to write effective queries for GPT models, but it essentially “fixes” poorly-written queries to be more effective in directing the attention mechanisms of the GPT models

  • Detailing its plan to answer your question, including any specific methodology, framework, or thought process that it will apply

    • When its asked to describe its own plan and methodological approach, it’s effectively generating a lightweight version of “chain of thought” reasoning

Write Nuanced Answers with Inline Links to More Info

From there, ChatGPT will try to avoid superfluous prose, disclaimers about seeking expert advice, or apologizing. Wherever it can, it will also add working links to important words, phrases, topics, papers, etc. These links will go to Google Search, passing in the terms that are most likely to give you the details you need.

>![NOTE] GPT-4 has yet to create a non-working or hallucinated link during my automated evaluations. While GPT-3.5 still occasionally hallucinates links, the instructions drastically reduce the chance of that happening.

It is also instructed with specific words and phrases to elicit the most useful responses possible, guiding its response to be more holistic, nuanced, and comprehensive. The use of such “lexically dense” words provides a stronger signal to the attention mechanism.

Multi-turn Responses for More Depth and Detail

✳️ New to v5: (GPT-4 only) When VERBOSITY is set to V=5, your AutoExpert will stretch its legs and settle in for a long chat session with you. These custom instructions guide ChatGPT into splitting its answer across multiple conversation turns. It even lets you know in advance what it’s going to cover in the current turn:

⏯️ This first part will focus on the pre-1920s era, emphasizing the roles of Max Planck and Albert Einstein in laying the foundation for quantum mechanics.

Once it’s finished its partial response, it’ll interrupt itself and ask if it can continue:

🔄 May I continue with the next phase of quantum mechanics, which delves into the 1920s, including the works of Heisenberg, Schrödinger, and Dirac?

Provide Direction for Additional Research

After it’s done answering your question, an epilogue section is created to suggest additional, topical content related to your query, as well as some more tangential things that you might enjoy reading.

Installation (one-time)

ChatGPT AutoExpert (“Standard” Edition) is intended for use in the ChatGPT web interface, with or without a Pro subscription. To activate it, you’ll need to do a few things!

  1. Sign in to ChatGPT

  2. Select the profile + ellipsis button in the lower-left of the screen to open the settings menu

  3. Select Custom Instructions

  4. Into the first textbox, copy and paste the text from the correct “About Me” source for the GPT model you’re using in ChatGPT, replacing whatever was there

  1. Into the second textbox, copy and paste the text from the correct “Custom Instructions” source for the GPT model you’re using in ChatGPT, replacing whatever was there

  1. Select the Save button in the lower right

  2. Try it out!

Want to get nerdy?

Read my Substack post about this prompt, attention, and the terrible trend of gibberish prompts.

OpenAI Official Prompting Guide





Advanced Prompt Engineering – Practical Examples

  • One-Minute Daily AI News 7/15/2024
    by /u/Excellent-Target-847 (Artificial Intelligence) on July 16, 2024 at 12:57 am

    MUSCLE: A Model Update Strategy for Compatible LLM Evolution.[1] Apple at all-time high after Morgan Stanley calls stock ‘top pick’ for AI efforts.[2] Google’s Gemini AI caught scanning Google Drive hosted PDF files without permission — user complains feature can’t be disabled.[3] This HR company tried to treat AI bots like people — it didn’t go over well.[4] Sources: [1] ~ [2] ~ [3] ~ [4] ~ submitted by /u/Excellent-Target-847 [link] [comments]

  • No backlighting in Dalle3
    by /u/Bminion99 (OpenAI) on July 16, 2024 at 12:33 am

    I struggle to eliminate this on consistent lighting effect. No matter what genre image I'm trying to make there always seems to be a light in the back illuminating everything in a soft white glow or outlined in a glow. I mostly am making illustrations for games/ttrpg stuff. If I say black background it makes a dark background with some kind or random light surrounding the character or environment. Telling it not to do this only seems to reinforce it. Telling it pitch black background works like 10% of the time. Anyone found a solution for this? submitted by /u/Bminion99 [link] [comments]

  • Sora Ai New Videos
    by /u/Cool_Helicopter9852 (OpenAI) on July 15, 2024 at 11:50 pm

    submitted by /u/Cool_Helicopter9852 [link] [comments]

  • OpenAI whistleblowers ask SEC to investigate the company's non-disclosure agreements with employees
    by /u/10marketing8 (OpenAI) on July 15, 2024 at 11:18 pm

    OpenAI whistleblowers ask SEC to investigate the company's non-disclosure agreements with employees submitted by /u/10marketing8 [link] [comments]

  • Really shocked at how badly 4o is hallucinating
    by /u/LolliaSabina (OpenAI) on July 15, 2024 at 10:50 pm

    I do a lot of genealogy research, and thought I'd try using 4o to help transcribe some handwritten French documents. (I took several years of French but it's rusty and some of these records are ooooold and hard to read.) So I created a custom GPT and ran a record through it. This particular marriage record is for an Alexis Anaclet dit Gagne, whose baptismal record indicated that his parents were unknown. So you can imagine how shocked I was when Chat GPT told me that he was the son of "Charles Andallet and Madeline Coulombe of Ste. Etienne de Montluc." I took a look again, and what the record actually says was "garcon majeur illegitime de cette paroisse," or "adult illegitimate son of this parish." I tried specifying, in multiple different ways, that the GPT should NEVER make up or guess at information, just mark things as illegible if they were unreadable. I also tried running it in regular ChatGPT (without the custom GPT). But no matter what I did, it insisted on creating fake parents for this guy ... and none of them are even similar to each other! Eléve Bilodeau et de Julie Gagné the late François Analet and the deceased Angèle Dubé the late Augustin Alarie dit Gagné and the late Marguerite Hétu This seems like such a major step backward for GPT. submitted by /u/LolliaSabina [link] [comments]

  • Rabbit r1's AI assistant has secretly been storing user chats that can't be deleted
    by /u/luissousa28 (OpenAI) on July 15, 2024 at 9:31 pm

    submitted by /u/luissousa28 [link] [comments]

  • Baidu Apollo operates these self-driving taxis in cities like Wuhan, Guangzhou, and Beijing. This new "carrot" ride-hailing platform has completed 3 million rides in just one month
    by /u/TheUncleTimo (Artificial Intelligence) on July 15, 2024 at 9:22 pm

    submitted by /u/TheUncleTimo [link] [comments]

  • Excuse me
    by /u/DeeKahy (OpenAI) on July 15, 2024 at 9:13 pm

    submitted by /u/DeeKahy [link] [comments]

  • Are there free Android interfaces for Chatgpt API?
    by /u/PashkaTLT (OpenAI) on July 15, 2024 at 9:12 pm

    Hello, Are there free Android applications where I'd be able to use chatgpt by setting my api key? Thank you. submitted by /u/PashkaTLT [link] [comments]

  • Chunkit: Convert URLs into LLM-friendly markdown chunks for your RAG projects
    by /u/Findep18 (Artificial Intelligence) on July 15, 2024 at 8:28 pm

    submitted by /u/Findep18 [link] [comments]

  • Need AI's help to organize interview notes.
    by /u/aldenburge (OpenAI) on July 15, 2024 at 6:48 pm

    Hi, I am a recruiter, and my least favorite part of my job is organizing and submitting my interview notes. Is there a program in which I can enter my notes and "fix" them up professionally pre submission? Super new to AI, but my company has started using it for creative purposes, so why not give it a try. Thanks submitted by /u/aldenburge [link] [comments]

  • New sentences in updated Reuters article about OpenAI's "Strawberry": 'A different source briefed on the matter said OpenAI has tested AI internally that scored over 90% on a MATH dataset, a benchmark of championship math problems. Reuters could not determine if this was the "Strawberry" project.'
    by /u/Wiskkey (OpenAI) on July 15, 2024 at 6:31 pm

    The sentences quoted in the post title are from Reuters article Exclusive: OpenAI working on new reasoning technology under code name ‘Strawberry’, which was originally published on July 12, 2024, and last updated about 4 hours ago as of this writing. This article was previously covered in this sub here. Archived versions of the article that don't contain the aforementioned sentences: link 1 and link 2. I'm not sure if the quote refers to the MATH dataset, which was introduced in this paper (PDF file), the first version of which was published in March 2021. The highest-scoring language model on the MATH benchmark in OpenAI's tests in the GPT-4o announcement post is GPT-4o's 76.6. A quote from the aforementioned paper (my bolding): We also evaluated humans on MATH, and found that a computer science PhD student who does not especially like mathematics attained approximately 40% on MATH, while a three-time IMO gold medalist attained 90%, indicating that MATH can be challenging for humans as well. EDIT: Another quote from the MATH-related paper: Human-Level Performance. To provide a rough but informative comparison to human-level performance, we randomly sampled 20 problems from the MATH test set and gave them to humans. We artificially require that the participants have 1 hour to work on the problems and must perform calculations by hand. All participants are university students. One participant who does not like mathematics got 8/20 = 40% correct. A participant ambivalent toward mathematics got 13/20. Two participants who like mathematics got 14/20 and 15/20. A participant who got a perfect score on the AMC 10 exam and attended USAMO several times got 18/20. A three-time IMO gold medalist got 18/20 = 90%, though missed questions were exclusively due to small errors of arithmetic. submitted by /u/Wiskkey [link] [comments]

  • Once was Q-Star and now is Project Strawberry
    by /u/Broad_Ad_4110 (OpenAI) on July 15, 2024 at 6:21 pm

    submitted by /u/Broad_Ad_4110 [link] [comments]

  • AI Integration for Structural Engineering
    by /u/SuperRicktastic (Artificial Intelligence) on July 15, 2024 at 5:42 pm

    I've been tasked by my supervisor to research AI platforms and how they might be useful or integrated into our workflow. We're a small structural engineering firm outside Washington D.C., working mainly in government contracts. My entire experience and expertise is in structural engineering, but I know a little about LLM's like ChatGPT or Gemini, like that they learn from preset training data. I also know they can sometimes produce questionable results regarding technical topics. I have a few questions, if anyone is willing to help point me in the right direction. Resources and webinars you'd recommend would also be a huge help. Can you feed LLM's your own training data? If so, what kind of programming knowledge would be required for this? Is there any way to make an LLM provide sources for it's answers? Can sources be restricted to our own training data, such as building codes? How is training data fed to an LLM? Could an AI model be taught to write something like a project specification document based off a template? Based on initial research, I get the feeling the benefit is going to be very limited, with a high potential for errors. I'm expected to give a presentation on this topic in a few weeks, so if I'm going to dissuade the higher ups from trying to push us towards this new tool, I want to make sure my argument is ironclad. Thanks for your help, feel free to DM me if you wish. Edit: If I'm being too pessimistic and this is actually something that might be beneficial, let me know. submitted by /u/SuperRicktastic [link] [comments]

  • Getting better function calling performance on gpt 3.5 vs latest models (i.e. gpt4o, sonnet 3.5, etc)?
    by /u/justangerines (OpenAI) on July 15, 2024 at 5:41 pm

    Anyone here experienced a similar scenario where gpt 3.5 is somehow performing best for your function calling use-case? For some context, we are testing a customer service chatbot with access to function calling in order to perform certain actions. We defined 4 different functions/tools that it can use - 1 to transfer to a live agent and 3 others for checking different client statuses in our backend before replying. We have an internal benchmark to gauge function calling performance and somehow gpt 3.5 is performing better than the latest models like gpt4o and sonnet 3.5. It's strange considering gpt 3.5 is supposed to be the weakest out of the models we are testing. Another issue with gpt4o and sonnet 3.5 is we get responses where it seems like the model wants to call a function but it ends up responding like: "Thank you, I will now do the following action. (Triple backticks) xxxx (Triple backticks) " I'd appreciate any advice on how you guys have optimized function calling to work with the latest models, or if you've experienced issues with the response like the one above, how were you able to address it? Thanks! submitted by /u/justangerines [link] [comments]

  • AI Getting Out of Hand - Made with Kling AI
    by /u/luissousa28 (OpenAI) on July 15, 2024 at 5:25 pm

    submitted by /u/luissousa28 [link] [comments]

  • Apparently ChatGPT has community note things now
    by /u/pigeon57434 (OpenAI) on July 15, 2024 at 4:15 pm

    I asked ChatGPT about the recent assassination attempt of Trump and it said there wasn't one but then a little note popped up almost like some sort of community note saying there was that was separate from ChatGPTs actual response submitted by /u/pigeon57434 [link] [comments]

  • General Theory of Neural Networks
    by /u/louis11 (Artificial Intelligence) on July 15, 2024 at 2:48 pm

    submitted by /u/louis11 [link] [comments]

  • Amazon’s AI shopping assistant rolls out to all users in the US
    by /u/luissousa28 (OpenAI) on July 15, 2024 at 2:40 pm

    submitted by /u/luissousa28 [link] [comments]

  • Regarding API key
    by /u/Regular_Example657 (OpenAI) on July 15, 2024 at 2:21 pm

    So our teacher gave us a task of implementing a movie recommendation website which uses an open ai API key to get the related information. She said that they are not longer giving API keys for free and you have to pay for it depending on the number of tokens. Is it true that it's not free anymore as I can't find this information anywhere. submitted by /u/Regular_Example657 [link] [comments]

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