From 1a4f366c086fbee17e9b2dd90d74ff977ef5a644 Mon Sep 17 00:00:00 2001 From: Alyssa Barraza Date: Sat, 5 Apr 2025 22:40:22 +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..1b613a1 --- /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, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11860868) an LLM fine-tuned with reinforcement knowing (RL) to enhance reasoning ability. DeepSeek-R1 [attains](https://gitea.nasilot.me) results on par with OpenAI's o1 design on a number of standards, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mix of professionals (MoE) design just recently open-sourced by DeepSeek. This base model is fine-tuned using Group Relative Policy Optimization (GRPO), a reasoning-oriented variation of RL. The research [study team](https://dirkohlmeier.de) likewise carried out understanding distillation from DeepSeek-R1 to [open-source Qwen](https://yezidicommunity.com) and Llama models and launched numerous versions of each \ No newline at end of file