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Southern University of Science and Technology, RayNeo.AI
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Current memory systems, despite their complexity, are surprisingly worse than naive RAG when applied to continuous lifelogging scenarios, revealing a critical need for better context preservation.
Skip the costly generative evals: a simple probe trained on internal LLM representations can accurately predict downstream task performance during training, slashing evaluation time from an hour to just three minutes.