Model Mechanics
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Track 1
1. Inside a Language Model
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1
Weights, Training, and Inference
When an AI behaves differently, find what changed before you blame the model
Beginner
2
Tokens and Embeddings: Text Becomes Numbers
Measure English and Khmer instead of trusting a words-to-tokens slogan
Beginner
3
Attention and Context: What the Model Can Use
Capacity is not recall, and a long window is not a database
Intermediate
4
Next-Token Generation: From Logits to a Response
A fluent answer is a sequence of local choices, wrapped by a serving system
Intermediate
1. Inside a Language Model