44. GPT From Scratch
A small GPT can be constructed from:
- tokenizer
- token embeddings
- positional information
- causal self-attention
- multi-head attention
- feed-forward networks
- residual connections
- layer normalization
- output projection
The complete flow is:
Text
↓
Tokenizer
↓
Token IDs
↓
Embeddings
↓
Transformer Blocks
↓
Logits
This is the bridge from neural-network fundamentals to LLM architecture.