Tokens and Embeddings in LLMs | Chapter 2 — Hands-On Large Language Models

Description

Explore the core currency of LLMs: tokens and embeddings. Learn how tokenizers prepare inputs, compare methods like BPE and WordPiece, and see how contextualized word embeddings are created. Discover practical applications like text embeddings for semantic search and how the word2vec algorithm powers modern recommendation systems.