From 72cb707660ff53dc0f38b76d81fbb1db3f301af9 Mon Sep 17 00:00:00 2001 From: odellwestmorel Date: Sun, 23 Feb 2025 07:02:21 -0600 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..3256d14 --- /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 support learning (RL) to improve reasoning capability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 design on a number of standards, consisting of MATH-500 and [SWE-bench](https://travelpages.com.gh).
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of specialists (MoE) model recently open-sourced by DeepSeek. This base design is fine-tuned utilizing Group Relative Policy [Optimization](https://git.iovchinnikov.ru) (GRPO), a reasoning-oriented variation of RL. The research [study team](https://gantnews.com) likewise performed knowledge distillation from DeepSeek-R1 to [open-source Qwen](https://gitter.top) and Llama models and [released](https://zenithgrs.com) several versions of each \ No newline at end of file