Difference between GPT-3.5 and GPT-4

ChatGPT, GPT-3.5, and GPT-4 are all large language models (LLMs) developed by OpenAI, but they have distinct characteristics and capabilities:

Difference between GPT-3.5 and GPT-4

  1. Model Parameters:
    • GPT-3.5: It has 175 billion parameters.
    • GPT-4: The latest version, GPT-4, has even more parameters, although the exact number is not specified in the provided information.
  2. Capabilities:
    • GPT-3.5:
      • Processes plain text input and generates natural language text and code output.
      • Doesn’t handle images or visual inputs.
      • Faster in generating responses.
      • No hourly prompt restrictions.
    • GPT-4:
      • Can accept visual inputs, such as images of graphs or worksheets.
      • Still processes plain text input and produces natural language text and code output.
      • Improved accuracy and fewer factual errors.
      • Comes with hourly prompt restrictions.
  3. Access:
    • ChatGPT Plus (ChatGPT+): The paid version of ChatGPT, which uses GPT-4 technology, costs $20 per month.
    • Free Version: If you’re using the free version of ChatGPT, you’ll still be using GPT-3.5 for now.

similarities between ChatGPT-3.5 and GPT-4

  1. Natural Language Models:
    • Both GPT-3.5 and GPT-4 are natural language models used by OpenAI’s ChatGPT and other artificial intelligence chatbots.
    • They can both respond to prompts like questions or requests and provide responses that closely resemble those of a real person .
  2. Response Generation:
    • Both models generate human-like responses to input text.
    • They excel at crafting conversational and coherent replies.
  3. Usage in ChatGPT:
      • ChatGPT-3.5: Currently, the model behind ChatGPT technology available through the web interface and API.
      • ChatGPT-4: The latest version, potentially larger and more capable, but still used for similar purposes

 

Aspect GPT-3.5 GPT-4
Model Parameters 175 billion parameters (Rumored) 1 trillion parameters
Capabilities – Text-only input/output – Accepts text and image inputs<br>- Generates text outputs<br>- Human-level performance on benchmarks<br>- Improved contextual understanding
Speed Faster in generating responses
Prompt Restrictions No hourly prompt restrictions Hourly prompt restrictions apply
Training Data Smaller model size, less data Larger model size, broader knowledge base
Use Cases General chat, text-based tasks Multimodal tasks, more complex instructions

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