From 9bf2d0861198c65721a91d117ea76cdbf475b90d Mon Sep 17 00:00:00 2001 From: Abby Petersen Date: Sat, 22 Feb 2025 21:27:49 +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..5c6cf98 --- /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](https://www.wow-z.com) with support learning (RL) to [enhance](https://csmsound.exagopartners.com) [thinking capability](https://music.worldcubers.com). DeepSeek-R1 attains outcomes on par with OpenAI's o1 model on numerous standards, [including](http://git.baige.me) MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a [mixture](http://jialcheerful.club3000) of [specialists](https://www.fightdynasty.com) (MoE) model just recently open-sourced by DeepSeek. This base design is fine-tuned utilizing Group Relative Policy Optimization (GRPO), [gratisafhalen.be](https://gratisafhalen.be/author/emiliabarha/) a reasoning-oriented variant of RL. The research study group also performed understanding distillation from DeepSeek-R1 to open-source Qwen and Llama designs and launched several variations of each \ No newline at end of file