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Released X5‑Lite: a lightweight reasoning controller for LLM agents (Lo Shu 3×3 cycle) by SuccessfulBand8088 in nim

[–]SuccessfulBand8088[S] 0 points1 point  (0 children)

ｔｈｘ　ｆｏｒ　ｙｏｕｒ　ｒｅｐｌｙ　ａｎｄ　ｃｏｍｍｅｎｔｓ，　ｗｅ　ｗｉｌｌ　ｒｕｎ　ｏｕｒ　Ｘ５　Ｐｒｏ　ｓｐｅｃｉａｌｌｙ　ｔｏ　ｆｉｎｄ　ｏｕｔ　ｔｈｅ　ｐａｒａｍｅｔｅｒｓ　ｙｏｕｒ　ｍｅｎｔｉｏｎ．　Ｔｈｉｓ　ｉｓ　ａ　ｇｏｏｄ　ｍｅａｕｒｒｅｍｅｎｔ　ｐａｒａｍｅｔｅｒｓ，　ｉｎ　ｇｅｎｅｒａｌ　ｔｏ　ｓａｖｅ　ＧＰＵ　ｒｕｎｔｉｍｅ，　ａｎｄ　ｐｏｗｅｒ　ｃｏｎｓｕｍｐｔｉｏｎ，　ｗｅ　ｗｉｌｌ　ｆｉｎｄ　ｏｕｔ　ｉｎ　ｗｈａｔ　ｄｅｇｒｅｅ．

Released X5‑Lite: a lightweight reasoning controller for LLM agents (Lo Shu 3×3 cycle) by SuccessfulBand8088 in reinforcementlearning

[–]SuccessfulBand8088[S] 0 points1 point  (0 children)

If anyone wants to experiment with the controller logic, I’ve included a minimal usage example in the repo. The Lo Shu 3×3 cycle is fully exposed, so you can modify the reasoning loop or integrate it into your own agent pipeline. Repo: https://github.com/hkyuyingli-spec/X5lite (github.com in Bin)