From 62ae0966167e5b8b70a24ca0b736b956ea12f65b Mon Sep 17 00:00:00 2001 From: nydiab5588662 Date: Sat, 12 Apr 2025 07:17:31 +0200 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..34df614 --- /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 improve thinking [capability](https://git.agri-sys.com). DeepSeek-R1 [attains outcomes](http://git.jihengcc.cn) on par with OpenAI's o1 model on several criteria, consisting of MATH-500 and [SWE-bench](https://textasian.com).
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of [professionals](http://18.178.52.993000) (MoE) model recently open-sourced by DeepSeek. This base design is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a [reasoning-oriented variation](http://dnd.achoo.jp) of RL. The research study team likewise performed understanding distillation from DeepSeek-R1 to open-source Qwen and [Llama models](https://www.mafiscotek.com) and [launched](https://playtube.app) several versions of each \ No newline at end of file