NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
Companies once measured AI by tokens burned. The real metric is whether your workflows survive when one lab pulls the model ...
Researchers recently were able to get full read and write access to Meta's Bloom, Meta-Llama, and Pythia large language model (LLM) repositories, in a troubling demonstration of the supply chain risks ...
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