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Hy4 preview optimizes "overthinking": both rounds and token consumption drop for complex tasks.
  • Token-29.82%

动察 Beating AI Flash: Tencent's Hunyuan and WorkBuddy have conducted a round of targeted optimization for Hy4 preview, which has now been fully deployed on WorkBuddy. According to the official statement, this update primarily addresses long-chain reasoning and excessive self-verification in complex tasks, significantly reducing task iterations and token consumption for both input and output without compromising task performance.

Hy4 preview is an open-source flagship MoE model released by Tencent at the end of August, with a total parameter count of 770B, activated parameters of 49B, and support for a 1M context window, focusing on long-duration tasks such as coding, office work, and scientific research. At the time of its release, Tencent proactively listed "long-chain reasoning in complex tasks and excessive self-verification" as known issues.

ソース:BlockBeats

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