From 47adfdcc3a3fbf212f00f140e38d83a908987525 Mon Sep 17 00:00:00 2001 From: Angelica Mattocks Date: Sat, 8 Feb 2025 21:37:19 +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..c73f045 --- /dev/null +++ b/DeepSeek-Open-Sources-DeepSeek-R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md @@ -0,0 +1,2 @@ +
DeepSeek-R1, [bytes-the-dust.com](https://bytes-the-dust.com/index.php/User:ElviraLamarr892) an LLM fine-tuned with [support](https://bootlab.bg-optics.ru) learning (RL) to enhance thinking ability. DeepSeek-R1 attains results on par with OpenAI's o1 model on a number of standards, consisting of MATH-500 and [SWE-bench](http://makerjia.cn3000).
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DeepSeek-R1 is based on DeepSeek-V3, a mix of specialists (MoE) model recently open-sourced by DeepSeek. This base design is fine-tuned using Group Relative Policy Optimization (GRPO), a reasoning-oriented variation of RL. The research group likewise carried out [knowledge distillation](https://gitea.tgnotify.top) from DeepSeek-R1 to [open-source Qwen](https://gps-hunter.ru) and Llama models and released a number of variations of each \ No newline at end of file