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Hanchen Li
@lihanc02
PhD student at @BerkeleySky on AI Infra. Pretrain coding data @Anuttacon_ .Prev @uchicago, @lmcache.
๊ฐ€์ž… March 2022
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Prompt Learning does not scale for parallel agents. More parallel agents ๐Ÿค– = worse prompts ๐Ÿ˜ญ Why? Processing too many trajectories concurrently damages the prompt update process ๐Ÿ We fix this with Combee : โ†’ preserves high-quality learnt system prompt โ†’ scales to more than 80 concurrent agents โ†’ up to 17ร— speedup without quality drop on top of ACE and GEPA ๐ŸฅฝUse Cases: 1. Prompt learning on large scale collected agent traces 2. Parallel agent learning online with fast knowledge sharing Read more below to learn how agents actually learn at scale โฌ‡๏ธ
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