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MiniMax推文

fal 团队构建 H3 Max 的深度解析

教程AI评分:50/100

fal 团队发布深度解析,介绍如何结合后训练与协同设计的推理栈构建 H3 Max,以提升提示遵循、视觉质量和速度。MiniMax H3 作为基础模型,团队对此表示祝贺与感谢。

译文

A great deep dive from the @fal team on how they built H3 Max, combining post-training with a co-designed inference stack to improve prompt adherence, visual quality, and speed. We're proud to see MiniMax H3 serve as the foundation for this work. Congratulations to the team, and thank you for pushing H3 forward! 👏

MiniMax

@MiniMax_AI

A great deep dive from the @fal team on how they built H3 Max, combining post-training with a co-designed inference stack to improve prompt adherence, visual quality, and speed. We're proud to see MiniMax H3 serve as the foundation for this work. Congratulations to the team, and thank you for pushing H3 forward! 👏

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