Using a Transformer Model: Training to Inference
Machine Learning Mastery
EDITOR BRIEF
This chapter covers autoregressive generation, prefill and decode, a simple KV cache, and memory use for the cache. It explains that a decoder-only transformer predicts the next token using the tokens that came before it.
INSIGHTS
This helps beginners see how text generation works step by step, not just how a model is trained. A good next step is to learn what a KV cache stores and how it speeds up decoding.
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