Prime Intellect Introduces 'Recursive Language Models' for Agents That Manage Their Own Context
A new research direction from Prime Intellect trains models to actively manage their context windows — a potential breakthrough for long-horizon agent tasks where context overflow is a persistent failure mode.
Prime Intellect announced research into what it calls Recursive Language Models, which are trained to manage their own context rather than relying on external scaffolding. As @PrimeIntellect described it: "We believe the next breakthrough in long-horizon agents is training models to manage their own context."
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