Understanding LLMs
Lesson 2 of 6
0%Lesson 2
30 min
Tokenization and Embeddings
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AI NarrationQuick Summary
LLMs read text as tokens — word fragments, punctuation, or whole short words — not as characters or words. Token counts drive both your costs and what fits in the context window.
What you will learn
- Understand what tokens are and why they matter
- Understand the role of embeddings in representing meaning
- Calculate approximate token counts for cost estimation
Intermediate Content
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Tokenization and Embeddings is part of Understanding LLMs — an intermediate module. We keep these gated so we can save your progress, recommend next steps, and personalize the curriculum.
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