Mathematics and Python for understanding the fundamentals of AI systems Ⅱ Data Analysis: Level 6 Level 6: Architecture of Generative AI From Tokens, Attention, and QKV to Self-Attention, Transformer, and RAG... Math & Python Textbook Series 10 "Curiosity about mathematics, the foundation of everything in the AI era." Two free downloadable files: Hands-On Data Analysis with Python * Efficient learning with Colab note files linked to this book. * Beginner-friendly Python code explained step-by-step. FilesStart Instantly in Your Browser-No Setup Contents Chapter 1 What Is a Generative AI System? Chapter 2 What Is a Token? Splitting Text into Small Units Chapter 3 Adding Positional Information: Representing Order with Math Chapter 4 An Introduction to Attention: Representing Where to Focus as Numbers Chapter 5 Query, Key, and Value: The Core Structure of Attention Chapter 6 Self-Attention: Words Attending to One Another in a Sentence Chapter 7 Multi-Head Attention: Reading with Several Views Chapter 8 The Transformer Block: Combining Two Layers Chapter 9 Language Model Basics: Predicting the Next Token Chapter 10 Tuning Generation: Temperature, Top-k, Top-p Chapter 11 Viewing Prompts Mathematically: Input and Context Design Chapter 12 The Basics of RAG: AI That Searches Before Answering Chapter 13 Chunking and Search Accuracy: How to Cut Information Chapter 14 AI Errors and Hallucination: Probability vs Fact Chapter 15 An Introduction to AI Agents: Judging and Using Tools Chapter 16 Comprehensive Project: Building a Small RAG-Style AI System Appendix A Mini-Glossary of Math Used in Generative AI Appendix B Mini-Glossary of Transformer Terms Appendix C Mini-Glossary of RAG and AI-System Terms
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