Chapter 12: Large Language Models
Chapter Overview
How LLMs are trained and scaled · The model family landscape · Prompt engineering & reasoning · RAG & semantic search · Alignment & safety · Efficient fine-tuning & deployment · Agentic AI · Production systems
Sections
1
LLM Training — Pretraining, Scaling & Fundamentals
DEEP
2
LLM Families & Architecture
Moderate
3
Prompt Engineering
DEEP
4
Reasoning & Inference-Time Scaling
DEEP
5
RAG & Semantic Search
DEEP
6
Alignment & Safety
DEEP
7
Efficient LLMs — Quantization & PEFT
DEEP
8
LLM Production — Serving & Inference
DEEP
9
Agentic AI
Moderate
10
LLM Evaluation
Moderate
11
Emerging Patterns
Moderate
12
Nice to Know
Brief