From cce80db07780762fb5be2dfdaa62b22157a02aee Mon Sep 17 00:00:00 2001 From: Denis Rounsevell Date: Sun, 9 Feb 2025 15:01:08 +0100 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..a048aa6 --- /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 knowing (RL) to enhance reasoning capability. DeepSeek-R1 attains outcomes on par with [OpenAI's](https://4kwavemedia.com) o1 model on numerous criteria, [raovatonline.org](https://raovatonline.org/author/charissa670/) consisting of MATH-500 and [SWE-bench](https://meet.globalworshipcenter.com).
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of specialists (MoE) model just recently open-sourced by DeepSeek. This base model is fine-tuned utilizing Group Relative Policy Optimization (GRPO), [forum.pinoo.com.tr](http://forum.pinoo.com.tr/profile.php?id=1323760) a reasoning-oriented version of RL. The research group likewise [performed understanding](http://www.brightching.cn) distillation from DeepSeek-R1 to open-source Qwen and Llama models and launched several [versions](https://gitea.nongnghiepso.com) of each \ No newline at end of file