From 21335b442f5a127dfa31f37dc2f99f90a06947e9 Mon Sep 17 00:00:00 2001 From: Charlotte Villalpando Date: Fri, 7 Feb 2025 04:32:58 +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..02887a7 --- /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://skillnaukri.com) DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to improve thinking capability. DeepSeek-R1 [attains outcomes](https://gogs.yaoxiangedu.com) on par with [OpenAI's](https://git.randomstar.io) o1 model on several standards, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of [professionals](http://www.engel-und-waisen.de) (MoE) model just recently open-sourced by DeepSeek. This base design is using Group Relative Policy Optimization (GRPO), a [reasoning-oriented](https://clubamericafansclub.com) version of RL. The research group also performed knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama designs and released [numerous variations](https://wiki.trinitydesktop.org) of each \ No newline at end of file