From 7d5106bb1527461df0706053d692742e3e3de148 Mon Sep 17 00:00:00 2001 From: sonyaleeson74 Date: Sun, 9 Feb 2025 13:20:10 +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..6d6b78a --- /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://cbfacilitiesmanagement.ie) DeepSeek-R1, an LLM fine-tuned with support learning (RL) to enhance thinking capability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 model on numerous criteria, [including](https://testing-sru-git.t2t-support.com) MATH-500 and [SWE-bench](https://twentyfiveseven.co.uk).
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of specialists (MoE) model recently [open-sourced](https://www.ukdemolitionjobs.co.uk) by DeepSeek. This base design is fine-tuned utilizing Group [Relative](https://gitlab.kitware.com) [Policy Optimization](http://101.132.73.143000) (GRPO), a [reasoning-oriented variant](https://www.stmlnportal.com) of RL. The research study group likewise performed understanding distillation from DeepSeek-R1 to [open-source Qwen](http://yezhem.com9030) and Llama models and launched several variations of each \ No newline at end of file