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:

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.
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.
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

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 .
Response Generation:
- Both models generate human-like responses to input text.
- They excel at crafting conversational and coherent replies.
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