AI 导读
来自 @fal 团队的一篇精彩深度解析，讲述他们如何打造 H3 Max——将后训练与协同设计的推理栈相结合，以提升提示词遵循度、视觉质量和速度。 我们很自豪看到 MiniMax H3 成为这项工作的基础。祝贺团队，也感谢你们推动 H3 不断前进！👏
正文
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! 👏
来源：@MiniMax_AI · x.com