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Introduction to NLP and LLMs 2024
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Lecture Notes
Week 1: Introduction
Week 1 Session 1: Foundations and Evolution of NLP
Week 1 Session 2: The Revolution in Modern NLP
Week 1 Lab - Introduction to NLP Basics
Week 2: Basics of Text Preprocessing
Week 2 Session 1: Text Preprocessing Fundamentals
Week 2 Session 2: Advanced Text Preprocessing and Representation
Week 2 Session 3: Korean Text Preprocessing and Tokenization
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 5 Session 1: Introduction to Transformers
Week 5 Session 2: BERT
Week 5 Session 3: Practical Implementation and Visualization of Transformers
Week 6: Understanding LLM APIs
Week 6 Session 1: Large Language Model (LLM) Basics and Training Strategies
Week 6 Session 2: Introduction to LLM APIs and OpenAI API Usage
Week 6 Session 3: Sampling Methods and Text Generation
Special Lecture: 2024 Nobel Prize in Physics
Session 1: Foundational Discoveries in Machine Learning with Artificial Neural Networks
Session 2: Deep Learning Evolution and Advanced Neural Network Architectures
Session 3: Insights from Interviews
Special Lecture: 2024 Nobel Prize in Chemistry
Session 1: Computational Protein Design and De Novo Protein Engineering
Session 2: Protein Structure Prediction Using Artificial Intelligence
Session 3: Insights from Interviews
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 10 Session 1: Introduction to LLM-based Q&A Systems
Week 10 Session 2: Vector Databases and Embeddings
Week 10 Session 3: System Integration and Implementation
Week 11: Web Application Development Basics
Week 11 Session 1: Introduction to Web Development and Flask
Week 11 Session 2: Advanced Flask and Introduction to Streamlit
Week 11 Session 3: Integrating LLM APIs and Deployment
Week 12: Controlling and Structuring LLM Outputs
Week 12 Session 1: Fundamentals of LLM Output Structuring
Week 12 Session 2: Advanced LLM Output Control
Week 12 Session 3: Real-World LLM Applications
Projects
Team Project
NLP Project Proposal
Week [n] Project Research Note
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Syllabus
Who made this book?
CHU AI Department
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