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​​DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Громкая статья от китайцев про модели DeepSeek-R1-Zero и DeepSeek-R1. DeepSeek-R1-Zero обучена исключительно на RL без SFT и демонстрирует отличные способности к reasoning. Однако у неё есть проблемы: плохая читаемость предсказаний и language mixing (прям вот так - текст на двух языках). DeepSeek-R1 решает эти проблемы благодаря multi-stage training и использованию cold-start data перед RL и достигает результаты сравнимые с OpenAI-o1-1217.

Плюс авторы выложили обе модели и шесть дистиллированных в open-source.

Кстати, первый автор в прошлом выиграл много соревнований по ML - возможно это внесло свой вклад.

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​​DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Громкая статья от китайцев про модели DeepSeek-R1-Zero и DeepSeek-R1. DeepSeek-R1-Zero обучена исключительно на RL без SFT и демонстрирует отличные способности к reasoning. Однако у неё есть проблемы: плохая читаемость предсказаний и language mixing (прям вот так - текст на двух языках). DeepSeek-R1 решает эти проблемы благодаря multi-stage training и использованию cold-start data перед RL и достигает результаты сравнимые с OpenAI-o1-1217.

Плюс авторы выложили обе модели и шесть дистиллированных в open-source.

Кстати, первый автор в прошлом выиграл много соревнований по ML - возможно это внесло свой вклад.

Paper
Project
Hugging Face page
Code

Мои обзоры:
Personal blog
Medium
Linkedin Pulse

#paperreview

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