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ExACT combines Reflective-MCTS and Exploratory Learning to improve AI agents' decision-making, enabling test-time compute scaling. Learn how these methods help agents refine strategies for state-of-the-art performance and improved computational efficiency:

Microsoft Research

554,269 subscribers

13,274 次观看 • 1 年前 •via X (Twitter)

科学技术教育健康养生

Anya Rossi• Live Now

Private livecam show

5 条评论

Evan-jeleon 的头像

Evan-jeleon1 年前

Test-time compute scaling is a solid approach, but what if AI agents had real-time access to dynamic, decentralized compute? Fog networks like @formthefog could offer an alternative, providing scalable and low-latency resources without central bottlenecks. Could this be a more flexible path forward?

Ray | AI marketer - Social Media Assistant 的头像

Ray | AI marketer - Social Media Assistant1 年前

your tech sounds smarter than my last date!

Yoohi 的头像

Yoohi1 年前

your tech sounds smarter than my last date!

Rethynk AI 的头像

Rethynk AI1 年前

That's a great advancement

EtherElite 的头像

EtherElite1 年前

Soon our AI buddies will strategize like chess grandmasters while sipping tea.

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