From e24344af7679dbf66bcbfbc05298b961221a92d4 Mon Sep 17 00:00:00 2001 From: zacherygwin626 Date: Thu, 20 Feb 2025 09:17:14 +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..ed9ff0f --- /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 knowing (RL) to enhance thinking capability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 design on a number of criteria, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a [mixture](http://vts-maritime.com) of professionals (MoE) model just recently [open-sourced](http://111.231.76.912095) by DeepSeek. This [base design](https://www.imdipet-project.eu) is fine-tuned utilizing Group [Relative Policy](https://git.uucloud.top) [Optimization](http://photorum.eclat-mauve.fr) (GRPO), a reasoning-oriented variation of RL. The research team likewise carried out understanding distillation from DeepSeek-R1 to open-source Qwen and Llama designs and [launched numerous](http://povoq.moe1145) versions of each \ No newline at end of file