Blog Archive

RLM: How to Process 10x More Context Without Losing Quality

Have you ever felt the frustration of trying to make an LLM remember something from the beginning of a long conversation, only to discover it "forgot" that crucial information? Or when you have a massive document and the LLM just can't process it all at once? The paper "Recursive Language Models" introduced an elegant approach to this problem, enabling models to process contexts of up to 10M+ tokens without performance degradation. In this post, I'll explore how this technique works and demonstrate a practical implementation.