The Architecture of ChatGPT: Foundations of Generative AI 🏗️

Beginner

ChatGPT is built upon the Generative Pre-trained Transformer (GPT) architecture, specifically GPT-4 in its latest iteration. The core components include:

  • Transformer architecture: Utilizes self-attention mechanisms to weigh contextual words dynamically.
  • Pre-training: Models are trained on large datasets to predict the next token, enabling understanding of language patterns.
  • Fine-tuning: Adjusts the model with supervised learning and reinforcement learning from human feedback (RLHF) to improve conversational accuracy and safety.

Transformer Components:

+-------------+       +--------------+
| Input Tokens| ---> | Embeddings   |
+-------------+       +--------------+
                            |
                            v
                    +----------------+
                    | Self-Attention |
                    +----------------+
                            |
                            v
                   +--------------+
                   | Output layer |
                   +--------------+

This architecture enables deep contextual understanding, allowing ChatGPT to generate coherent and contextually relevant text responses.