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New paper on kernel generation: "AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation" Agents often waste a lot of time making the same mistakes and trying to fix unpromising solutions. AdaExplore accumulates reusable skills based on failures (Adapt) and searches with a mixture of large changes and... show more

Sean Welleck

7,660 subscribers

29,716 Aufrufe • vor 5 Monaten •via X (Twitter)

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4 Kommentare

Profilbild von Sean Welleck

Sean Welleckvor 5 Monaten

Amazing work by Weihua Du (@StigLidu) and the team @JingmingZhuo @yi_xin_dong @Andre3035858461 @sunweiwei12 @regunivers Manupa Karunaratne, Ivan Fox @Tim_Dettmers @tqchenml Yiming Yang!

Profilbild von Kirito (e/acc) 🏴‍☠️

Kirito (e/acc) 🏴‍☠️vor 5 Monaten

@sunweiwei12 @elliotarledge

$Profilbild von 💥 \newline$

💥 \newlinevor 5 Monaten

the adapt loop in this paper is basically what most people are missing when they try to run agents in production. if you aren't clustering failure patterns and updating the skill memory, your agent is just burning tokens to make the same logic error for the third time in ten minutes. clustering those patterns and injecting them as representative kernels is the real solve for reliability. without that feedback loop, an autonomous agent is just a very expensive way to generate stack traces.

Profilbild von Jakie PLA

Jakie PLAvor 5 Monaten

Love the Adapt-Explore pipeline. Teaching agents to catalog failure modes like I do with failed prints? That's exactly the iterative learning smart manufacturing needs.

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