Module 5: Tokenization & Embeddings

Understanding how text is converted to numbers and represented in vector space.

Learning Objectives

• ✅ Understand BPE, WordPiece, and SentencePiece tokenization
• ✅ Explain context window limitations and solutions
• ✅ Describe embedding spaces and their applications

Chapters

1. Tokenization Algorithms: BPE, WordPiece, SentencePiece
2. Context Windows: Limits, long-context models, chunking
3. Embedding Spaces: Vector representations, similarity, visualization

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