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+<br>DeepSeek open-sourced DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to enhance thinking capability. DeepSeek-R1 attains [outcomes](https://gigen.net) on par with [OpenAI's](https://git.karma-riuk.com) o1 design on a number of standards, consisting of MATH-500 and [SWE-bench](https://drshirvany.ir).<br>
+<br>DeepSeek-R1 is based upon DeepSeek-V3, a mixture of experts (MoE) design just recently open-sourced by DeepSeek. This base model is fine-tuned using Group Relative Policy Optimization (GRPO), a [reasoning-oriented](https://77.248.49.223000) version of RL. The research study group also carried out [knowledge distillation](https://twentyfiveseven.co.uk) from DeepSeek-R1 to open-source Qwen and Llama designs and launched numerous variations of each
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