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MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%
Researchers' MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining it and see a 26% ...
UC Santa Barbara’s Robert Mehrabian College of Engineering, Yuheng Bu, assistant professor in the Computer Science Department, has received a prestigious Early CAREER Award from the National Science F ...
MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.
OpenAI today launched a new large language model series, o1, that can decode scrambled text, answer science questions with better accuracy than PhD holders and perform other complex tasks. The LLM ...
A new study uses the psychological Stroop task to uncover a catastrophic performance collapse in LLM attention and executive ...
With most computer programs—even complex ones—you can meticulously trace through the code and memory usage to figure out why that program generates any specific behavior or output. That’s generally ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Content creators and IP holders are getting creative in order to fight back against the LLMs that are trawling their data ...
Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...
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