From da005bf652792f96197152f2c604090c35fa4800 Mon Sep 17 00:00:00 2001 From: trishawoodcock Date: Fri, 21 Feb 2025 05:19:30 +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..1310f43 --- /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://www.dpfremovalnottingham.com) DeepSeek-R1, an [LLM fine-tuned](https://taar.me) with reinforcement knowing (RL) to enhance reasoning ability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 model on numerous criteria, consisting of MATH-500 and [SWE-bench](https://www.garagesale.es).
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of [professionals](https://cmegit.gotocme.com) (MoE) design just recently open-sourced by DeepSeek. This base design is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented version of RL. The research group likewise carried out understanding distillation from DeepSeek-R1 to open-source Qwen and Llama models and released several versions of each \ No newline at end of file