How can I add ChatGPT to my web site?

What is Google answer to ChatGPT?

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How can I add ChatGPT to my web site?

ChatGPT is a powerful chatbot platform powered by machine learning and AI. Whether you’re looking to monitor user conversations or automate customer service, ChatGPT can be embedded on your website so that visitors can have real-time interactions with an intelligent chatbot. Integrating ChatGPT is easy and efficient, allowing your website to become interfaced with cutting edge AI technology within minutes. ChatGPT is the perfect way for businesses to drive engagement and collect valuable data from customer conversations in order to advance their product roadmap and streamline services.
What is Google answer to ChatGPT?
ChatGPT examples and limitations

There are a few different ways you can add ChatGPT to your website, depending on your specific requirements and the tools and frameworks you are using. Here are a few options:

  1. Use an API: OpenAI has an API that you can use to access ChatGPT. To use the API, you will need to sign up for an API key and then use it to make API calls from your website. You’ll need to write some code to send and receive the API calls, but you can find many examples and libraries in different languages that can help.
  2. Use a pre-built library or SDK: Some developers have created libraries or software development kits (SDKs) that make it easier to use ChatGPT in your website. For example, Hugging Face provides a JavaScript library that you can use to integrate ChatGPT with your website.
  3. Embed a pre-built chatbot: There are a few pre-built chatbots available that are built using ChatGPT and that you can embed in your website. For example, Botfront.io allows you to create a chatbot using the GPT-3 language model.

Please note, to use ChatGPT or GPT-3 model, the OpenAI’s API requires a commercial or research agreement to be in place. As well some of the services may require paid subscription, so it’s recommended to check the pricing and terms of use in advance.

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It’s also important to note that building a chatbot with GPT-3 or other language models can require some level of skill, mainly related to data science and natural language processing. If you have little or no experience with it, it may be better to seek professional help.

ChatGPT makes it easy to integrate artificial intelligence (AI) into your web site with just a few clicks. ChatGPT employs machine learning technology to allow users to easily embed a natural language processing (NLP) chatbot into their website. ChatGPT learns from conversations, providing customers with an engaging and useful experience when visiting your site. ChatGPT will make your website stand out and provide visitors with an enjoyable experience that they won’t soon forget.

What is Google answer to ChatGPT?

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What is Google answer to ChatGPT? – IT – Engineering – Cloud – Finance (enoumen.com

Here are 10 use cases of ChatGPT based Apps

1. Connect your ChatGPT with your Whatsapp.
Link: http://bit.ly/3ZfmyzC


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2. ChatGPT Writer : It use ChatGPT to generate emails or replies based on your prompt!
Link: http://bit.ly/3vGB3if

3. WebChatGPT: WebChatGPT ( http://bit.ly/3CsA210) gives you relevant results from the web!

4. YouTube Summary with ChatGPT: It generate text summaries of any YouTube video!
Link: http://bit.ly/3QhismB

5. TweetGPT: It uses ChatGPT to write your tweets, reply, comment, etc.
Link: http://bit.ly/3k0vOY4

6. Search GPT: It display the ChatGPT response alongside Google Search results
Link: http://bit.ly/3X8GySx

7. ChatGPT or all search engines: You can now view ChatGPT responses on Google and Bing!
Link: http://bit.ly/3QlH2Tl

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8. Save all your Prompts?: The `ChatGPT History` extension has you covered!
Link: http://bit.ly/3ijtDP8

9. Remake a video: Just pick a video you liked and visit https://lnkd.in/e_GD2reT to get its transcript. Once done, bring that back to Chat GPT and tell it to summarize the transcript. Read the summary and make a video on that yourself.

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10. Search what people are Prompting with FlowGPT
Link: https://flowgpt.com

#searchengines #people #building #google #comment #video #writer

Create code to call to the OpenAI API using a natural language instruction.

Settings
Engine: code-davinci-002
Max tokens: 64
Temperature: 0
Top: p1.0
Frequency penalty: 0.0
Presence penalty: 0.0
Stop sequence: “””
Prompt
“”” Util exposes the following: util.openai() -> authenticates & returns the openai module, which has the following functions: openai.Completion.create( prompt=”<my prompt>”, # The prompt to start completing from max_tokens=123, # The max number of tokens to generate temperature=1.0 # A measure of randomness echo=True, # Whether to return the prompt in addition to the generated completion ) “”” import util “”” Create an OpenAI completion starting from the prompt “Once upon an AI”, no more than 5 tokens. Does not include the prompt.
“””
Sample response
completion = util.openai().Completion.create( prompt=”Once upon an AI”, max_tokens=5, temperature=1.0, echo=False, ) print(completion) “””

With Python

import os
import openai

openai.api_key = os.getenv(“OPENAI_API_KEY”)

response = openai.Completion.create(
model=”code-davinci-002″,
prompt=”\”\”\”\nUtil exposes the following:\nutil.openai() -> authenticates & returns the openai module, which has the following functions:\nopenai.Completion.create(\n prompt=\”<my prompt>\”, # The prompt to start completing from\n max_tokens=123, # The max number of tokens to generate\n temperature=1.0 # A measure of randomness\n echo=True, # Whether to return the prompt in addition to the generated completion\n)\n\”\”\”\nimport util\n\”\”\”\nCreate an OpenAI completion starting from the prompt \”Once upon an AI\”, no more than 5 tokens. Does not include the prompt.\n\”\”\”\n”,
temperature=0,
max_tokens=64,
top_p=1.0,
frequency_penalty=0.0,
presence_penalty=0.0,
stop=[“\”\”\””]
)

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With NodeJS

const { Configuration, OpenAIApi } = require(“openai”);

const configuration = new Configuration({
apiKey: process.env.OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);

const response = await openai.createCompletion({
model: “code-davinci-002”,
prompt: “\”\”\”\nUtil exposes the following:\nutil.openai() -> authenticates & returns the openai module, which has the following functions:\nopenai.Completion.create(\n prompt=\”<my prompt>\”, # The prompt to start completing from\n max_tokens=123, # The max number of tokens to generate\n temperature=1.0 # A measure of randomness\n echo=True, # Whether to return the prompt in addition to the generated completion\n)\n\”\”\”\nimport util\n\”\”\”\nCreate an OpenAI completion starting from the prompt \”Once upon an AI\”, no more than 5 tokens. Does not include the prompt.\n\”\”\”\n”,
temperature: 0,
max_tokens: 64,
top_p: 1.0,
frequency_penalty: 0.0,
presence_penalty: 0.0,
stop: [“\”\”\””],
});

With curl:

curl https://api.openai.com/v1/completions \
-H “Content-Type: application/json” \
-H “Authorization: Bearer $OPENAI_API_KEY” \
-d ‘{
“model”: “code-davinci-002”,
“prompt”: “\”\”\”\nUtil exposes the following:\nutil.openai() -> authenticates & returns the openai module, which has the following functions:\nopenai.Completion.create(\n prompt=\”<my prompt>\”, # The prompt to start completing from\n max_tokens=123, # The max number of tokens to generate\n temperature=1.0 # A measure of randomness\n echo=True, # Whether to return the prompt in addition to the generated completion\n)\n\”\”\”\nimport util\n\”\”\”\nCreate an OpenAI completion starting from the prompt \”Once upon an AI\”, no more than 5 tokens. Does not include the prompt.\n\”\”\”\n”,
“temperature”: 0,
“max_tokens”: 64,
“top_p”: 1.0,
“frequency_penalty”: 0.0,
“presence_penalty”: 0.0,
“stop”: [“\”\”\””]
}’


With Json:

{
“model”: “code-davinci-002”,
“prompt”: “\”\”\”\nUtil exposes the following:\nutil.openai() -> authenticates & returns the openai module, which has the following functions:\nopenai.Completion.create(\n prompt=\”<my prompt>\”, # The prompt to start completing from\n max_tokens=123, # The max number of tokens to generate\n temperature=1.0 # A measure of randomness\n echo=True, # Whether to return the prompt in addition to the generated completion\n)\n\”\”\”\nimport util\n\”\”\”\nCreate an OpenAI completion starting from the prompt \”Once upon an AI\”, no more than 5 tokens. Does not include the prompt.\n\”\”\”\n”,
“temperature”: 0,
“max_tokens”: 64,
“top_p”: 1.0,
“frequency_penalty”: 0.0,
“presence_penalty”: 0.0,
“stop”: [“\”\”\””]
}

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