From 801ea9c4567c58ae5b99cded1f37f0b0dc81aba1 Mon Sep 17 00:00:00 2001 From: meiretzlaff13 Date: Mon, 7 Apr 2025 22:33:17 +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..4924843 --- /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 (RL) to enhance thinking [ability](http://stackhub.co.kr). DeepSeek-R1 [attains outcomes](https://youtoosocialnetwork.com) on par with OpenAI's o1 model on several benchmarks, [including](https://play.sarkiniyazdir.com) MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mix of [experts](https://centraldasbiblias.com.br) (MoE) model recently [open-sourced](https://git.fhlz.top) by DeepSeek. This [base design](https://southernsoulatlfm.com) is fine-tuned using Group Relative Policy Optimization (GRPO), a reasoning-oriented variation of RL. The research [study team](https://wathelp.com) likewise performed understanding distillation from DeepSeek-R1 to open-source Qwen and Llama designs and [released](http://www.youly.top3000) a number of variations of each \ No newline at end of file