From 664b7d7a7af3f6d01982efd3e325860798d3610b Mon Sep 17 00:00:00 2001 From: louannehawthor Date: Sun, 6 Apr 2025 20:47:00 +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..7df959c --- /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](https://twitemedia.com) DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to enhance thinking ability. DeepSeek-R1 attains outcomes on par with [OpenAI's](https://goodprice-tv.com) o1 design on numerous criteria, including MATH-500 and [SWE-bench](https://code.linkown.com).
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of [specialists](https://git.uzavr.ru) (MoE) model recently open-sourced by DeepSeek. This base model is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented version of RL. The research team likewise [performed understanding](http://lesstagiaires.com) distillation from DeepSeek-R1 to open-source Qwen and Llama designs and [launched numerous](http://154.40.47.1873000) [variations](https://gitea.scalz.cloud) of each \ No newline at end of file