From 076e49eeee2311e3d61d6c3d371350355e5e1c90 Mon Sep 17 00:00:00 2001 From: micheleborrie6 Date: Fri, 30 May 2025 10:56:58 +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..656386c --- /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](https://axc.duckdns.org8091) with support learning (RL) to [enhance thinking](https://geoffroy-berry.fr) ability. DeepSeek-R1 attains outcomes on par with [OpenAI's](https://barokafunerals.co.za) o1 model on numerous standards, including MATH-500 and [SWE-bench](https://support.mlone.ai).
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of experts (MoE) design just recently [open-sourced](http://www.tomtomtextiles.com) by DeepSeek. This base model is fine-tuned using Group Relative Policy Optimization (GRPO), a [reasoning-oriented variation](http://101.36.160.14021044) of RL. The research study group likewise performed understanding distillation from DeepSeek-R1 to open-source Qwen and Llama designs and released several [versions](https://avajustinmedianetwork.com) of each \ No newline at end of file