From d6452d386e4880aeb9b80762cf2783b7d3bcdde3 Mon Sep 17 00:00:00 2001 From: adelaidewood4 Date: Fri, 7 Feb 2025 16:11:56 +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..fd84e48 --- /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 improve thinking [ability](http://211.91.63.1448088). DeepSeek-R1 attains results on par with OpenAI's o1 model on a number of criteria, including MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of specialists (MoE) design recently open-sourced by [DeepSeek](https://owow.chat). This base model is [fine-tuned utilizing](https://doop.africa) Group Relative [Policy Optimization](http://busforsale.ae) (GRPO), a reasoning-oriented version of RL. The research [study team](https://energypowerworld.co.uk) likewise performed [understanding distillation](http://xn--jj-xu1im7bd43bzvos7a5l04n158a8xe.com) from DeepSeek-R1 to [open-source Qwen](http://qstack.pl3000) and Llama designs and launched numerous variations of each \ No newline at end of file