Introduction to ChatGPT - telivaina/chatgpt GitHub Wiki

What is ChatGPT

  • ChatGPT stands for Chat(because it chats with you) and GPT(short for Generative Pre-trained Transformer), which is the AI model behind it.
  • ChatGPT is a trained AI model that interacts in a conversational manner.
  • ChatGPT's dialogue format allows it to answer follow-up questions, correct mistakes, challenge false assumptions, and decline inappropriate requests.
  • ChatGPT is a sibling model to InstructGPT⁠, which is trained to follow an instruction in a prompt and provide a detailed response.

Generative

In this context, "Generative" means that the AI can create new content, such as text, images, or even code, rather than just analyzing or recognizing existing data.

For example:

ChatGPT generates text-based responses.

DALL·E generates images from text descriptions. It refers to AI models that can produce something new based on what they have learned from large amounts of data.

Pre-Trained

Pre-Trained in this context means that the AI model has already been trained on a large dataset before you use it.

Instead of learning everything from scratch every time, the model has been trained in advance on vast amounts of text data (books, articles, websites, etc.) to understand language, grammar, and context. This allows it to generate meaningful responses quickly without needing to relearn basic knowledge each time it interacts with a user.

Transformer

A Transformer is a type of AI model that helps computers understand and generate language efficiently.

It works by processing words all at once (instead of one by one) and figuring out how they relate to each other in a sentence. This makes it great for tasks like translating languages, answering questions, and creating text.

ChatGPT uses a Transformer model to generate human-like conversations.

AI Model

  • An AI model is a computer program that learns from data to perform tasks that typically require human intelligence.
  • These tasks can include understanding language, recognizing images, making decisions, and more.
  • AI models are trained using algorithms and large datasets to recognize patterns and generate responses or predictions.
  • Examples include ChatGPT for conversation, DALL·E for image generation, and Whisper for speech recognition.

AI (Artificial Intelligence)

  • AI is when computers are made to think and learn like humans.
  • It helps machines solve problems, understand language, and even recognize pictures.
  • Examples include chatbots, voice assistants like Siri, and self-driving cars.

How ChatGPT fits into the AI ecosystem?

ChatGPT fits into the AI ecosystem as a powerful tool within the realm of Natural Language Processing (NLP), which is a subset of Machine Learning (ML) and Deep Learning (DL).

ChatGPT is a Deep Learning-based NLP model built using the transformer architecture. It is a subset of Machine Learning and is part of the broader Artificial Intelligence ecosystem. It uses advanced models like GPT (Generative Pre-trained Transformers) to process, understand, and generate human-like text based on the input it receives.

You could visualize its position in the AI ecosystem like this:

AI
 └── Machine Learning
      └── Deep Learning
           └── Natural Language Processing (NLP)
                └── ChatGPT