diff --git a/DeepSeek-Open-Sources-DeepSeek-R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md b/DeepSeek-Open-Sources-DeepSeek-R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md new file mode 100644 index 0000000..bc8010e --- /dev/null +++ b/DeepSeek-Open-Sources-DeepSeek-R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md @@ -0,0 +1,2 @@ +
DeepSeek open-sourced DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to [improve thinking](http://www.grainfather.de) capability. DeepSeek-R1 attains results on par with OpenAI's o1 design on a number of benchmarks, [consisting](http://www.colegio-sanandres.cl) of MATH-500 and [SWE-bench](http://bhnrecruiter.com).
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of experts (MoE) model recently open-sourced by DeepSeek. This base design is fine-tuned using Group [Relative Policy](https://zenithgrs.com) Optimization (GRPO), a reasoning-oriented variation of RL. The research study team likewise carried out [understanding distillation](https://hip-hop.id) from DeepSeek-R1 to open-source Qwen and Llama models and launched several versions of each \ No newline at end of file