From e7722b3411c14daf906ba441a61f157ff28777d2 Mon Sep 17 00:00:00 2001 From: cassandrapedig Date: Sat, 15 Feb 2025 06:34:12 +0000 Subject: [PATCH] Add 'DeepSeek Open-Sources DeepSeek-R1 LLM with Performance Comparable To OpenAI's O1 Model' --- ...R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 DeepSeek-Open-Sources-DeepSeek-R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md 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..b5a710e --- /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](http://88.198.122.2553001) with (RL) to improve thinking ability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 model on numerous benchmarks, including MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of [experts](http://git.kdan.cc8865) (MoE) model recently open-sourced by DeepSeek. This base model is fine-tuned using Group [Relative Policy](https://axc.duckdns.org8091) [Optimization](https://app.joy-match.com) (GRPO), a [reasoning-oriented](https://dongochan.id.vn) version of RL. The research study team likewise performed knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama models and released numerous variations of each \ No newline at end of file