From c99ce9d2b9f0dfb9dd8ab8e620dc605943659a1b Mon Sep 17 00:00:00 2001 From: mnzjessika8169 Date: Thu, 3 Apr 2025 07:46:12 +0800 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..2e73178 --- /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 (RL) to enhance reasoning [capability](http://repo.jd-mall.cn8048). DeepSeek-R1 [attains outcomes](http://161.97.176.30) on par with [OpenAI's](https://app.galaxiesunion.com) o1 design on a number of criteria, consisting of MATH-500 and [SWE-bench](https://mhealth-consulting.eu).
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DeepSeek-R1 is based on DeepSeek-V3, a mix of specialists (MoE) model recently [open-sourced](https://twitemedia.com) by [DeepSeek](http://www.isexsex.com). This base model is [fine-tuned](https://www.shwemusic.com) using Group Relative Policy Optimization (GRPO), a reasoning-oriented variant of RL. The research group also carried out [knowledge distillation](https://heli.today) from DeepSeek-R1 to [open-source](https://acetamide.net) Qwen and Llama models and released a number of variations of each \ No newline at end of file