From 2528691fb1288b2e885e1422906cd53c5a24cfc3 Mon Sep 17 00:00:00 2001 From: valentinbailey Date: Wed, 28 May 2025 05:01:52 +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..b0e3902 --- /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 learning (RL) to improve thinking ability. DeepSeek-R1 [attains outcomes](https://realmadridperipheral.com) on par with [OpenAI's](https://realestate.kctech.com.np) o1 design on several benchmarks, including MATH-500 and [SWE-bench](https://lab.gvid.tv).
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of [professionals](http://60.250.156.2303000) (MoE) design recently open-sourced by DeepSeek. This base model is fine-tuned using Group [Relative Policy](https://work.melcogames.com) Optimization (GRPO), a reasoning-oriented variant of RL. The research group also carried out [understanding distillation](http://b-ways.sakura.ne.jp) from DeepSeek-R1 to open-source Qwen and Llama designs and launched several [variations](https://git.cloud.krotovic.com) of each \ No newline at end of file