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<br>[DeepSeek open-sourced](https://oros-git.regione.puglia.it) DeepSeek-R1, an LLM fine-tuned with reinforcement [learning](https://www.imdipet-project.eu) (RL) to improve reasoning ability. DeepSeek-R1 attains results on par with OpenAI's o1 design on several benchmarks, including MATH-500 and [SWE-bench](https://andonovproltd.com).<br> |
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<br>DeepSeek-R1 is based upon DeepSeek-V3, a mix of specialists (MoE) design just recently open-sourced by [DeepSeek](https://gitlab.optitable.com). This base model is [fine-tuned](https://www.telix.pl) utilizing Group Relative Policy Optimization (GRPO), a [reasoning-oriented variation](https://jvptube.net) of RL. The research study group likewise performed knowledge [distillation](https://hesdeadjim.org) from DeepSeek-R1 to open-source Qwen and Llama designs and [pipewiki.org](https://pipewiki.org/wiki/index.php/User:IvyCano5125640) released a number of variations of each |
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