Nathan's @cursor_ai team didn't prompt-engineer their way to Composer 2.5. They trained it. The mass...
Fireworks AI(@FireworksAI_HQ)150 字 (约 1 分钟)
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The Cursor team achieved Composer 2.5 through reinforcement learning training rather than prompt engineering, with their large-scale RL program running inference on Fireworks, indicating that self-trained models will be the only way to maintain competitive moats after 2027.
入选理由：Cursor团队使用强化学习训练Composer 2.5，而非提示工程方法
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