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Introduction to NLP and LLMs 2024

Lecture Notes

Week 1: Introduction
Week 2: Basics of Text Preprocessing
Week 3: Fundamentals of Language Models
- Week 3 Session 1: Introduction to Language Models and N-grams
- Week 3 Session 2: Advanced Statistical Language Models
Week 4: Word Embeddings
- Week 4 Session 1: Introduction to Word Embeddings and Word2Vec
- Week 4 Session 2: Advanced Word Embeddings
Week 5: Transformers
Week 6: Understanding LLM APIs
Special Lecture: 2024 Nobel Prize in Physics
Special Lecture: 2024 Nobel Prize in Chemistry
Week 9: Basics of Prompt Engineering
- Week 9 Session 1: Introduction to Prompt Engineering and Core Techniques
- Week 9 Session 2: Advanced Prompting Strategies and Prompt Design Principles
Week 10: Building LLM-based Q&A Systems
Week 11: Web Application Development Basics
Week 12: Controlling and Structuring LLM Outputs

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By Young Joon Lee