From 4625b229b733361f66a81e5ade4a64520066ce07 Mon Sep 17 00:00:00 2001 From: alicanabors804 Date: Wed, 28 May 2025 10:04:34 +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..581c7a8 --- /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://origintraffic.com). DeepSeek-R1 [attains](https://www.jungmile.com) results on par with OpenAI's o1 design on a number of criteria, [consisting](http://gagetaylor.com) of MATH-500 and [SWE-bench](http://47.96.131.2478081).
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of professionals (MoE) model just recently open-sourced by DeepSeek. This base model is fine-tuned using Group Relative Policy Optimization (GRPO), a version of RL. The research team likewise performed knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama designs and released a number of versions of each \ No newline at end of file