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LLMs1 min read
Researchers propose REALM, a framework using retrieval feedback to reorganize long-term memory in LLM agents. It achieves 75.97% accuracy on LoCoMo and 65.11% on LongMemEval.
From arXiv cs.CL
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Archive (34)How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
