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ART·E: how we built an email research agent that beats o3 (openpipe.ai)
3 points by kcorbitt 3 months ago | hide | past | favorite | 2 comments


Impressive work on leveraging ART and GRPO to enhance the capabilities of LLM-based email agents for deep-research tasks. I’m curious about the scalability of this approach: how does the system handle a growing volume of diverse email queries, and what measures are in place to maintain response quality over time? Additionally, are there plans to integrate this agent with existing email platforms for broader accessibility?


I could see training your own email agent being beneficial for products like this:

https://x.com/advaitpaliwal/status/1913290027897131084




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