par Introduction to LLMs
1.1 A Brief History of NLP and LLMs
1.1.1 The AI Boom and Early Natural Language Processors : 1950s–1980s
1.1.2 Expert Systems and Statistical Models : 1980s–1990s
1.1.3 Neural Network Models, Word Embeddings, and Transformers : 2000s–2020s
1.1.4 The Age of Large Language Models (LLMs) : 2020–Present
1.2 Tokenization
1.2.1 The Tokenization Worklow
1.2.2 Tokenization Methods
1.2.2.1 Tokenization in Language Models
1.2.3 Challenges in Tokenization
1.2.4 Tokenization in LLM-Powered
1.3 Embedding
1.3.1 Types of Embeddings
1.3.2 Embeddings in LLM-Powered
1.4 Retrieval
1.4.1 The Retrieval Process
1.4.2 Modern Retrieval Systems
1.4.2.1 Sparse Retrieval Systems
1.4.2.2 Traditional Databases with Vector Retrieval
1.4.2.3 Modern Vector Databases
1.4.3 Retrieval in LLM-Powered..
