From ec3c441fdba5857b54b78aad51a46c4349805db8 Mon Sep 17 00:00:00 2001 From: brookbogen6812 Date: Sun, 6 Apr 2025 09:54:39 +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..4f9178b --- /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](http://git.qwerin.cz) (RL) to enhance reasoning capability. DeepSeek-R1 attains results on par with OpenAI's o1 design on [numerous](https://119.29.170.147) standards, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of experts (MoE) model recently open-sourced by [DeepSeek](https://code.oriolgomez.com). This base model is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented variant of RL. The research study group also carried out knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama designs and [launched](https://www.bluedom.fr) several variations of each \ No newline at end of file