Chapter 2.1 - Tokenizing Text
Tokenization is the very first step. It is how we convert human-readable text into small, structured pieces.
Chapter 2.2 - Data Sampling
Data sampling is how we organize our massive list of numbers into bite-sized, overlapping flashcards so the model can practice learning.
Chapter 2.3 - Creating Token Embeddings
Token Embeddings are the magic trick that turns completely random ID numbers into rich, meaningful concepts that the AI can understand.
Chapter 2.4 - Encoding Positional Embeddings
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