From d28e6020bcbda1de1cb8ce27828fa813914eeb7d Mon Sep 17 00:00:00 2001 From: Akilah Ricks Date: Fri, 4 Apr 2025 02:35:33 +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..655bdf6 --- /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](http://49.234.213.44) [capability](http://xiaomaapp.top3000). DeepSeek-R1 [attains outcomes](http://209.141.61.263000) on par with [OpenAI's](http://gitlab.ds-s.cn30000) o1 model on a number of benchmarks, including MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of experts (MoE) model recently open-sourced by DeepSeek. This base model is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented version of RL. The research study group likewise performed understanding distillation from DeepSeek-R1 to [open-source Qwen](http://47.106.205.1408089) and Llama models and released several variations of each \ No newline at end of file