From Prompt to Prediction: Understanding Prefill, Decode, and the KV Cache in LLMs - MachineLearningMastery.com
In the previous article, we saw how a language model converts logits into probabilities and samples the next token. But where do these logits come from? In this tutorial, we take a hands-on approac...
Source: MachineLearningMastery.com
In the previous article, we saw how a language model converts logits into probabilities and samples the next token. But where do these logits come from? In this tutorial, we take a hands-on approach to understand the generation pipeline: How the prefill phase processes your entire prompt in a single parallel pass How the decode […]
