From 61ff32a4c932b0a88706a80b6857f1f44038329d Mon Sep 17 00:00:00 2001 From: richgarvin9429 Date: Thu, 3 Apr 2025 15:53:36 +0200 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..924b8f9 --- /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://nusalancer.netnation.my.id) DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to improve [thinking capability](https://vagyonor.hu). DeepSeek-R1 attains results on par with OpenAI's o1 design on several standards, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of professionals (MoE) design recently open-sourced by DeepSeek. This base design is fine-tuned utilizing Group Relative [Policy Optimization](https://git.jiewen.run) (GRPO), a [reasoning-oriented variant](http://165.22.249.528888) of RL. The research study group also carried out knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama designs and released numerous versions of each \ No newline at end of file