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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:

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Microsoft Research

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13,274 Aufrufe • vor 1 Jahr •via X (Twitter)

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Profilbild von Evan-jeleon
Evan-jeleonvor 1 Jahr

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?

Profilbild von Ray | AI marketer - Social Media Assistant
Ray | AI marketer - Social Media Assistantvor 1 Jahr

your tech sounds smarter than my last date!

Profilbild von Yoohi
Yoohivor 1 Jahr

your tech sounds smarter than my last date!

Profilbild von Rethynk AI
Rethynk AIvor 1 Jahr

That's a great advancement

Profilbild von EtherElite
EtherElitevor 1 Jahr

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

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