From 94061af51417bcc12269656bda6557f0510e1d47 Mon Sep 17 00:00:00 2001 From: basilacheson8 Date: Sat, 5 Apr 2025 19:04:30 +0800 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..777c26e --- /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](https://www.luckysalesinc.com) DeepSeek-R1, an [LLM fine-tuned](https://job.honline.ma) with reinforcement learning (RL) to enhance reasoning ability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 design on a number of standards, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11860868) including MATH-500 and [SWE-bench](https://www.securityprofinder.com).
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DeepSeek-R1 is based on DeepSeek-V3, a mix of experts (MoE) design just recently [open-sourced](http://acs-21.com) by DeepSeek. This base design is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented version of RL. The research study group also [performed knowledge](https://git.connectplus.jp) distillation from DeepSeek-R1 to [open-source Qwen](http://plus.ngo) and Llama models and launched a number of versions of each \ No newline at end of file