Together 推出 post-training 服务:训练与生成保持一致
Together 做了个 post-training 服务,训练时你设计的 reward 就是模型真正学到的那套,上线后行为不走样。
Together 发布了 post-training(后训练)服务,主打训练和生成环节保持对齐。开发者在训练时设计的 reward(奖励信号)就是模型实际学习所用的信号,避免训练与推理环境不一致带来的偏差。该行为可以一路带到 serving(线上服务)阶段。
training and generation stay aligned on together post-training
that means the reward signal you designed is the one the model actually learns from, and the behavior carries through to serving
https://t.co/0WHnc47hCY https://t.co/eEWgWzNA3M