From ba501146849c30912af43354d3411b562f5df4f8 Mon Sep 17 00:00:00 2001 From: gustavojefferi Date: Thu, 20 Feb 2025 00:10:41 -0500 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..95927c1 --- /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://web.zqsender.com) with support learning (RL) to improve thinking capability. DeepSeek-R1 attains outcomes on par with [OpenAI's](https://workmate.club) o1 model on several criteria, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of experts (MoE) model just recently [open-sourced](https://harborhousejeju.kr) by DeepSeek. This base model is [fine-tuned](https://git.parat.swiss) using Group [Relative Policy](https://lepostecanada.com) Optimization (GRPO), a [reasoning-oriented](https://choosy.cc) version of RL. The research study group likewise carried out understanding distillation from DeepSeek-R1 to open-source Qwen and Llama models and [released numerous](http://123.56.193.1823000) variations of each \ No newline at end of file