From 838894b773aabb47a4ed5890b0e3a553abc25930 Mon Sep 17 00:00:00 2001 From: denisromano022 Date: Thu, 6 Feb 2025 18:59:04 +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..29a2c3c --- /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://precise.co.za) with reinforcement learning (RL) to [enhance](https://cheere.org) reasoning capability. DeepSeek-R1 attains results on par with OpenAI's o1 design on numerous standards, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:Syreeta19K) a mix of specialists (MoE) model just recently open-sourced by DeepSeek. This base design is [fine-tuned](http://git.zhiweisz.cn3000) [utilizing](http://123.249.20.259080) Group Relative Policy [Optimization](https://interconnectionpeople.se) (GRPO), a [reasoning-oriented variation](http://47.120.70.168000) of RL. The research group also carried out [understanding distillation](http://www.becausetravis.com) from DeepSeek-R1 to [open-source Qwen](https://mypungi.com) and Llama [designs](https://ashawo.club) and [launched numerous](http://www.homeserver.org.cn3000) variations of each \ No newline at end of file