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gpt4.0 artificial intelligence web version [Copy link]

 

As a senior electronic engineer, using the GPT-4.0 artificial intelligence web version can be a good way to conduct related work and research on natural language processing. Here are some detailed steps and resources to help you quickly get started with the GPT-4.0 web version.

1. Use OpenAI ChatGPT web version

OpenAI provides a web version that allows you to directly use GPT-4.0, which makes it easy to conduct conversations and tests.

1.1 Access OpenAI ChatGPT

  1. Open your browser and visit OpenAI ChatGPT .
  2. Register and Login :
    • If you don’t have an OpenAI account, click “Sign Up” to register a new account.
    • Log in with an existing account.

1.2 Using ChatGPT

  1. Enter the conversation content :
    • Once you're logged in, you'll see a dialog box where you can type your question or conversation.
    • ChatGPT generates responses in the dialog box, and you can continue the conversation for multiple turns.

2. Using OpenAI API

If you need to integrate GPT-4.0 into your project, you can use the API provided by OpenAI.

2.1 Get an API key

  1. Visit the OpenAI API page :
    • After logging into your OpenAI account, visit the API page .
  2. Create an API key :
    • Click "Create API Key" to generate a new API key.

2.2 Installing and using the API

  1. Install the OpenAI Python library :

    • Open a command line or terminal and enter the following command to install OpenAI's Python client library:
      bash
      Copy code
      pip install openai
  2. Write sample code :

    • Use the following sample code to call the GPT-4.0 API:
      Python
      Copy code
      import openai

      # Set your API key
      openai.api_key = 'your-api-key'

      # Send a request
      response = openai.ChatCompletion.create(
      model= "gpt-4" ,
      messages=[
      { "role" : "system" , "content" : "You are a helpful assistant." },
      { "role" : "user" , "content" : "Hello, how can I use ChatGPT?" }
      ]
      )

      # Print the response
      print (response.choices[ 0 ].message[ 'content' ])
  3. Run the script :

    • Run this Python script in the command line or terminal to view the response of GPT-4.0.

3. Third-party platforms and tools

Some third-party platforms have integrated OpenAI's GPT-4.0 and provide convenient access.

3.1 Using Hugging Face Transformers

Hugging Face provides a platform that integrates the OpenAI GPT model and can be easily called.

  1. Visit Hugging Face :
  2. Search for GPT models :
    • Type "GPT-4" in the search bar to find related models.
  3. Using the sample code :
    • Refer to the sample code provided by Hugging Face to make the call.

3.2 Using DeepAI

DeepAI is also a third-party platform that provides access to GPT-4.0.

  1. Visit DeepAI :
    • Open your browser and visit DeepAI .
  2. Register and Login :
    • Register a new account or log in with an existing account.
  3. Using GPT-4.0 :
    • Enter the GPT-4.0 usage page and enter text to start a conversation.

4. Open source projects and local operation

If you prefer to run locally or use an open source project, you can use Hugging Face’s Transformers library to load a pre-trained GPT model.

4.1 Installing the Transformers Library

  1. Install Transformers :
    • Open the command line or terminal and enter the following command to install Hugging Face's Transformers library:
      bash
      Copy code
      pip install transformers

4.2 Downloading and using pre-trained models

  1. Write sample code :

    • Create a new Python script and use the following code to load and use the pre-trained GPT model:
      Python
      Copy code
      from transformers import AutoModelForCausalLM, AutoTokenizer

      # Load the pre-trained GPT model
      tokenizer = AutoTokenizer.from_pretrained( "gpt2" )
      model = AutoModelForCausalLM.from_pretrained( "gpt2" )

      # Input text
      input_text = "Hello, how is the weather today?"
      input_ids = tokenizer.encode(input_text, return_tensors= 'pt' )

      # Generate reply
      output = model.generate(input_ids, max_length= 50 )

      # Print reply
      print (tokenizer.decode(output[ 0 ], skip_special_tokens= True ))
  2. Run the script :

    • Run the Python script in a command line or terminal to see the generated response.

Summarize

As a senior electronic engineer, using the GPT-4.0 artificial intelligence web version can greatly improve your work efficiency and research capabilities. By accessing the ChatGPT web version provided by OpenAI, using the OpenAI API, leveraging third-party platforms and tools, or even running locally through open source projects, you can apply GPT-4.0 in a variety of scenarios and give full play to its powerful natural language processing capabilities. Choose the most appropriate method for use and integration based on your specific needs and usage scenarios.

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I tried AI and it is really good. For a novice, it can save a lot of effort to try it out. https://tz.zhufushipinzhizuo.com/17.html   Details Published on 2024-9-1 13:39
 
 

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I tried AI and it is really good. For a novice, it can save a lot of effort to try it out. https://tz.zhufushipinzhizuo.com/17.html

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This post is from Q&A
 
 
 

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