From 590edef89abb34e058de54f82c3a6c0d613e3909 Mon Sep 17 00:00:00 2001 From: Antwan Woodd Date: Mon, 17 Feb 2025 03:18:50 +0000 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..ef26209 --- /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 [support knowing](https://squishmallowswiki.com) (RL) to [improve thinking](https://endhum.com) ability. DeepSeek-R1 attains results on par with OpenAI's o1 design on several criteria, including MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of experts (MoE) model just recently open-sourced by DeepSeek. This base design is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a [reasoning-oriented variation](http://turtle.tube) of RL. The research study team likewise performed understanding distillation from DeepSeek-R1 to open-source Qwen and Llama models and released several [versions](https://www.jooner.com) of each \ No newline at end of file