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Introduction

1. Introduction: LLM in the Age of AI

LLM Foundations

2. Language Models
3. Early Neural Language Models
4. Word Embeddings
5. Transformers
6. BERT
7. Seq2Seq: T5 and BART
8. GPT Series

LLM Architectures

9. LLM Architecture Fundamentals
10. MoE Sparse Architectures (WIP)

LLM Training

11. LLM Training Fundamentals
12. LLM Finetuning
13. LLM Alignment and Preference Learning
14. LLM Reasoning (WIP)
15. LLM Training Acceleration (WIP)
16. *Reinforcement Learning Essentials

LLM Case Studies

17. Llama Series
18. DeepSeek Series

LLM Inference

19. Decoding
20. Inference Acceleration (WIP)

Prompting

21. Basic Prompting
22. Advanced Prompting Techniques

Application in Information Retrieval and RAG

23. Information Retrieval and Sparse Retrieval
24. Information Retrieval and Dense Models
25. Application of LLM in IR (WIP)
26. RAG
27. Advanced RAG (WIP)

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By Yuguang Yang

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