Chapter 1 Complete
You have learned
Transformer Basics
You now understand the fundamental building blocks of modern LLMs:
From tokenization through embeddings to the complete transformer block
with self-attention, multi-head attention, and feedforward networks.
Tokenization (BPE)
Embeddings
Positional Encoding
Self-Attention
Multi-Head Attention
Feedforward Networks
Residual & LayerNorm
Transformer Block
Continue with Chapter 2
Modern Architecture Variants
Discover advanced architectures like Mixture of Experts (MoE),
Grouped Query Attention, Flash Attention, Sparse Attention, and
native multimodality with Early Fusion.