The post discusses memory bottlenecks in training large language models (LLMs) with extended context windows. It introduces FlashAttention as a technique to optimize memory and computation for long sequences in transformer models. The post explains how Kvax, an open-source implementation based on JAX, facilitates efficient
Table of contents
Explaining the Memory Bottleneck of the Context Window.Enter FlashAttention.Parallelism in Distributed LLM Training.Kvax by Nebius.Wrapping up.Sort: