HandsOnLLM/Hands-On-Large-Language-Models

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Chapter	Notebook
Chapter 1: Introduction to Language Models
Chapter 2: Tokens and Embeddings
Chapter 3: Looking Inside Transformer LLMs
Chapter 4: Text Classification
Chapter 5: Text Clustering and Topic Modeling
Chapter 6: Prompt Engineering
Chapter 7: Advanced Text Generation Techniques and Tools
Chapter 8: Semantic Search and Retrieval-Augmented Generation
Chapter 9: Multimodal Large Language Models
Chapter 10: Creating Text Embedding Models
Chapter 11: Fine-tuning Representation Models for Classification
Chapter 12: Fine-tuning Generation Models

A Visual Guide to Mamba	A Visual Guide to Quantization	The Illustrated Stable Diffusion

A Visual Guide to Mixture of Experts	A Visual Guide to Reasoning LLMs	The Illustrated DeepSeek-R1

Hands-On Large Language Models