RLM vs Contextual Window

RLM vs Contextual Window

Author: @vibedilettante + Gemini

The last two years in the AI industry have been marked by an arms race in terms of the size of the context window. Google and OpenAI are offering us millions of tokens. However, any developer who has worked with RAG (Retrieval-Augmented Generation) on large datasets knows the dirty secret of this technology: more doesn't always mean better.

Today, we will explore a fresh approach from the Prime Intellect team - Recursive Language Model.
3. Aggregates the results, checks them, and decides whether it has answered the user's question or needs to delve deeper (recursive call).

This allows the model to maintain a clear focus at every stage of its work.

Key differences from the classical approach

Feature Classical LLM (Long Context) RLM (Recursive)
Processing method Reads everything at once (In-context) Reads in chunks through code
Attention Distracted by