From c34dd5e6578156a31e361ddf1cd002341af1fa40 Mon Sep 17 00:00:00 2001 From: Antony Scoggins Date: Sat, 22 Feb 2025 13:35:07 +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..87fa5da --- /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://git.medtap.cn) with reinforcement knowing (RL) to enhance reasoning capability. DeepSeek-R1 attains results on par with OpenAI's o1 design on a number of standards, including MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of professionals (MoE) design recently [open-sourced](http://demo.qkseo.in) by [DeepSeek](http://47.244.181.255). This base model is [fine-tuned utilizing](https://tangguifang.dreamhosters.com) Group Relative Policy Optimization (GRPO), [trademarketclassifieds.com](https://trademarketclassifieds.com/user/profile/2672496) a reasoning-oriented version of RL. The research group also performed understanding distillation from DeepSeek-R1 to open-source Qwen and [Llama designs](https://kol-jobs.com) and [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:JosetteFredricks) launched numerous versions of each \ No newline at end of file