From 082bea88e77af4c81df4f71aa321b1d4bd8cafbf Mon Sep 17 00:00:00 2001 From: Arlette Chill Date: Sat, 8 Feb 2025 08:03:05 -0600 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..5b04335 --- /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://love63.ru) DeepSeek-R1, an LLM fine-tuned with support knowing (RL) to enhance thinking capability. DeepSeek-R1 attains results on par with [OpenAI's](https://www.stmlnportal.com) o1 design on several criteria, consisting of MATH-500 and [SWE-bench](http://git.daiss.work).
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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 design is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented variation of RL. The research study team likewise [carried](https://ahlamhospitalityjobs.com) out understanding distillation from DeepSeek-R1 to open-source Qwen and Llama designs and released numerous variations of each \ No newline at end of file