The Architecture of ChatGPT: Foundations of Generative AI 🏗️
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.