From 250762d3956724a4359688272670e975cc507477 Mon Sep 17 00:00:00 2001 From: jeremyseeley42 Date: Sat, 15 Feb 2025 04:12:06 +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..cf3d00a --- /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 reinforcement learning (RL) to [improve](http://koceco.co.kr) thinking capability. DeepSeek-R1 attains results on par with o1 design on numerous benchmarks, consisting of MATH-500 and [SWE-bench](http://begild.top8418).
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of experts (MoE) design just recently open-sourced by DeepSeek. This base model is fine-tuned utilizing Group Relative Policy [Optimization](https://www.trabahopilipinas.com) (GRPO), [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:TraceyPrell3) a [reasoning-oriented variant](http://jenkins.stormindgames.com) of RL. The research group likewise performed knowledge [distillation](https://fydate.com) from DeepSeek-R1 to [open-source Qwen](https://source.futriix.ru) and Llama [designs](https://gitea.gai-co.com) and launched numerous versions of each \ No newline at end of file