From 9d1b67f4d1016fb2a798b995bdeb0aa14569a762 Mon Sep 17 00:00:00 2001 From: shellisecombe6 Date: Fri, 11 Apr 2025 12:43:06 +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..98ac30e --- /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](https://8.129.209.127) learning (RL) to [enhance](https://git.intellect-labs.com) [reasoning ability](http://dimarecruitment.co.uk). DeepSeek-R1 [attains](http://62.234.223.2383000) results on par with OpenAI's o1 design on several standards, [including](https://gitea.masenam.com) MATH-500 and [SWE-bench](https://forum.elaivizh.eu).
+
DeepSeek-R1 is based on DeepSeek-V3, a mixture of [experts](https://www.belizetalent.com) (MoE) design just recently open-sourced by DeepSeek. This base design is fine-tuned using Group Relative Policy Optimization (GRPO), a [reasoning-oriented variation](http://8.140.244.22410880) of RL. The research study team likewise carried out understanding distillation from DeepSeek-R1 to open-source Qwen and Llama designs and launched numerous versions of each \ No newline at end of file