From NLP to Large Language Models | Saravan Kumar M K

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1. Chapter 1 — Language, Tokens and Word Vectors | Saravan Kumar M K
2. Chapter 2 — From RNNs to the Transformer | Saravan Kumar M K
3. Chapter 3 — Inside Modern Attention: Positions, Normalization and Efficiency | Saravan Kumar M K
4. Chapter 4 — BERT and Encoder-Only Models | Saravan Kumar M K
5. Chapter 5 — Large Language Models: Experts, Decoding and Prompting | Saravan Kumar M K
6. Chapter 6 — Fast Inference and Training at Scale | Saravan Kumar M K
7. Chapter 7 — Finetuning and Aligning LLMs | Saravan Kumar M K
8. Chapter 8 — Reasoning Models | Saravan Kumar M K
9. Chapter 9 — Retrieval, Tools and Agents | Saravan Kumar M K
10. Chapter 10 — Evaluation and the Road Ahead | Saravan Kumar M K
11. From NLP to Large Language Models | Saravan Kumar M K