From 1a6452fbeaf21b0651b2347f14dfcf51c17c7f1b Mon Sep 17 00:00:00 2001 From: sheliacimitier Date: Sat, 15 Feb 2025 18:04:06 +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..e89d7f3 --- /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, [larsaluarna.se](http://www.larsaluarna.se/index.php/User:Arturo0965) an LLM fine-tuned with reinforcement learning (RL) to [improve thinking](http://39.100.93.1872585) capability. DeepSeek-R1 attains results on par with OpenAI's o1 design on a number of benchmarks, including MATH-500 and [SWE-bench](https://gitlab.interjinn.com).
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DeepSeek-R1 is based on DeepSeek-V3, a mix of [experts](https://southwales.com) (MoE) design recently [open-sourced](http://plus-tube.ru) by [DeepSeek](http://39.105.203.1873000). This base model is fine-tuned using Group Relative Policy Optimization (GRPO), a reasoning-oriented version of RL. The research study team also [carried](http://1.94.30.13000) out [understanding distillation](https://git.project.qingger.com) from DeepSeek-R1 to [open-source Qwen](http://gpis.kr) and Llama designs and launched numerous [variations](http://47.104.246.1631080) of each \ No newline at end of file