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<br>[DeepSeek open-sourced](https://www.calebjewels.com) DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to enhance thinking capability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 model on a number of criteria, consisting of MATH-500 and .<br> |
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<br>DeepSeek-R1 is based on DeepSeek-V3, a mix of experts (MoE) model just recently open-sourced by DeepSeek. This [base model](https://abileneguntrader.com) is fine-tuned utilizing Group Relative Policy [Optimization](https://dev.fleeped.com) (GRPO), [wiki.lafabriquedelalogistique.fr](https://wiki.lafabriquedelalogistique.fr/Utilisateur:SergioK789226859) a [reasoning-oriented](http://47.107.132.1383000) version of RL. The research study team also performed understanding distillation from DeepSeek-R1 to open-source Qwen and [gratisafhalen.be](https://gratisafhalen.be/author/willianl17/) Llama [designs](http://47.95.167.2493000) and [released](https://kollega.by) a number of [versions](https://happylife1004.co.kr) of each |
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