From 2f512267f6cdf61df08eb8b08a049d550a62fc11 Mon Sep 17 00:00:00 2001 From: kieragayman091 Date: Sun, 6 Apr 2025 19:00:36 +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..7cf7890 --- /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://edurich.lk) DeepSeek-R1, an LLM fine-tuned with support knowing (RL) to improve reasoning capability. DeepSeek-R1 attains results on par with OpenAI's o1 design on numerous standards, [forum.altaycoins.com](http://forum.altaycoins.com/profile.php?id=1118914) including MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of specialists (MoE) design just recently open-sourced by DeepSeek. This base model is [fine-tuned](http://121.196.13.116) using Group Relative [Policy Optimization](http://116.63.157.38418) (GRPO), a reasoning-oriented variation of RL. The research [study team](https://git.lunch.org.uk) also performed knowledge distillation from DeepSeek-R1 to [open-source Qwen](https://www.cbl.aero) and [Llama models](https://jobsdirect.lk) and released numerous variations of each \ No newline at end of file