naveen Kumar Sharma
7.4K posts
naveen Kumar Sharma
@sdbd_techBTC
#tech @crypto_news @cryptoprojects
Mathura 가입일 Haziran 2012
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naveen Kumar Sharma 리트윗함
naveen Kumar Sharma 리트윗함
naveen Kumar Sharma 리트윗함
@coingecko plz your candy make a better usecase what do u think about #coingecko
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naveen Kumar Sharma 리트윗함
naveen Kumar Sharma 리트윗함
naveen Kumar Sharma 리트윗함
When you scale parallel agents, prompt updates degrade fast. The more trajectories you process concurrently, the more generic your learned prompts become.
Our researchers worked with @lihanc02 and team on Combee to rethink how aggregation works at scale.
Results held up across GEPA and ACE even past 80 concurrent agents.
Read more on this research👇
Hanchen Li @ ICLR@lihanc02
Prompt Learning does not scale for parallel agents. More parallel agents 🤖 = worse prompts 😭 Why? Processing too many trajectories concurrently damages the prompt update process 🐝 We fix this with Combee : → preserves high-quality learnt system prompt → scales to more than 80 concurrent agents → up to 17× speedup without quality drop on top of ACE and GEPA 🥽Use 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 ⬇️
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naveen Kumar Sharma 리트윗함
naveen Kumar Sharma 리트윗함
naveen Kumar Sharma 리트윗함
naveen Kumar Sharma 리트윗함
naveen Kumar Sharma 리트윗함
