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Source channel @githubtrending · Post #15558 · Mar 12

#python#agentic_ai#agents#memory Hindsight is a top agent memory system that helps AI agents learn over time by storing facts, experiences, and mental models like human memory, beating rivals on LongMemEval benchmarks with 91.4% accuracy. Add it easily with 2 lines of code via Python or Node.js clients, using simple retain, recall, and reflect operations for Docker or embedded setups. You benefit by building smarter, consistent agents that reduce errors, cut hallucinations, handle long-term tasks, and personalize chats—saving time and boosting performance in production. https://github.com/vectorize-io/hindsight

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ИХР РАН / ISC RAS

@isc_ras · Post #879 · 03/17/2023, 05:40 AM

На YouTube-канале Американского физического общества доступна запись замечательного вебинара Physical Review tutorial for authors: How to write a great scientific paper: https://www.youtube.com/watch?v=kUsSnsfDgfI Цитаты: "...the curse of knowledge..." "...There is no correlation between speaking English well and writing well..." "...Writing is storytelling..." "...Every paper tells (not more than) one story..." "...Find your own voice..." #webinar#APS

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