From fc5a5a815b20e5e03695fda0fe6c88981637bb2f Mon Sep 17 00:00:00 2001 From: cassandramcint Date: Sat, 22 Feb 2025 09:02:34 +0100 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..b3455a3 --- /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 reasoning ability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 model on several benchmarks, consisting of MATH-500 and [SWE-bench](http://git.anyh5.com).
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DeepSeek-R1 is based on DeepSeek-V3, a [mixture](http://182.92.202.1133000) of specialists (MoE) design recently [open-sourced](http://101.43.129.2610880) by [DeepSeek](https://sondezar.com). This base model is fine-tuned utilizing Group [Relative](https://www.footballclubfans.com) Policy Optimization (GRPO), a [reasoning-oriented](https://wiki.roboco.co) [variant](http://www.mizmiz.de) of RL. The research study group likewise carried out understanding distillation from DeepSeek-R1 to open-source Qwen and Llama [designs](https://pyra-handheld.com) and launched numerous variations of each \ No newline at end of file