From 02706e4c5acd4d0a1a3367f59fc28ac6f516c4e4 Mon Sep 17 00:00:00 2001 From: klara33v72081 Date: Wed, 9 Apr 2025 03:48:47 +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..ed8340f --- /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](https://git.on58.com) with support learning (RL) to improve reasoning ability. DeepSeek-R1 attains results on par with OpenAI's o1 model on a number of criteria, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of professionals (MoE) model recently open-sourced by [DeepSeek](http://xn--950bz9nf3c8tlxibsy9a.com). This base design is [fine-tuned](https://travel-friends.net) utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented variant of RL. The research team likewise performed understanding distillation from DeepSeek-R1 to open-source Qwen and Llama designs and launched several versions of each \ No newline at end of file