From ab1f57a394c92df8c76961e3a6d1d91fcc485678 Mon Sep 17 00:00:00 2001 From: devon09u58604 Date: Thu, 6 Feb 2025 20:57:11 +0100 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..432a0b1 --- /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 [support learning](http://wiki.lexserve.co.ke) (RL) to enhance reasoning capability. DeepSeek-R1 attains results on par with [OpenAI's](https://www.arztsucheonline.de) o1 design on several criteria, [including](https://www.personal-social.com) MATH-500 and [SWE-bench](https://git.spitkov.hu).
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of professionals (MoE) design just recently open-sourced by [DeepSeek](https://git.chartsoft.cn). This base design is fine-tuned using Group Relative Policy Optimization (GRPO), [bio.rogstecnologia.com.br](https://bio.rogstecnologia.com.br/bagjanine969) a reasoning-oriented variant of RL. The research group also carried out understanding distillation from DeepSeek-R1 to [open-source Qwen](http://www.grainfather.co.nz) and [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:Margareta19E) Llama designs and released several [versions](http://47.92.109.2308080) of each \ No newline at end of file