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Inference
推理研究与开发
虽然前沿模型在自主搜索方面表现出色，但对于这种以令牌为中心的任务来说，它们的成本过高且速度缓慢。这是一个问题，因为搜索精度往往随着处理的令牌数量而增加。
解决方案是小型、经过精心强化学习训练的模型，专门针对各个搜索引擎，这些模型可以在成本和速度上比通用前沿模型便宜一到两个数量级，同时表现更好。
2025年10月1日
Thanks to the resurgence of RL, LLMs are finally able to reliably coordinate tools and reasoning to do high-precision retrieval.
Companies like Happenstance, Clado, and Mintlify have already shifted to agentic search, and it's only a matter of time until anything less feels broken to users.
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😋
2025年9月29日
Big news: I’m joining @inference_net as a Machine Learning Engineer/Researcher.
Huge thanks to everyone who’s been part of this journey:
• @Teknium1 my biggest inspiration, his work at Nous pushed me forward.
• @TroyQuasar for being there through the grind.
• And my whole network your support means everything.
I won’t forget it. Grateful for all of you.
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