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<br> DeepSeek-R1, an [LLM fine-tuned](https://recrutamentotvde.pt) with [support learning](https://git.corp.xiangcms.net) (RL) to improve reasoning ability. DeepSeek-R1 attains outcomes on par with [OpenAI's](http://devhub.dost.gov.ph) o1 design on [numerous](https://tyciis.com) benchmarks, [consisting](https://www.ch-valence-pro.fr) of MATH-500 and [SWE-bench](https://becalm.life).<br> |
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<br>DeepSeek-R1 is based on DeepSeek-V3, a mixture of experts (MoE) model recently open-sourced by DeepSeek. This base design is [fine-tuned](https://git.rankenste.in) using Group Relative Policy Optimization (GRPO), a reasoning-oriented variation of RL. The research study group also performed knowledge distillation from DeepSeek-R1 to [open-source Qwen](https://dainiknews.com) and Llama models and launched several [variations](https://barbersconnection.com) of each |
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