From 2f027e79047d9fc1c9147dcf719535080bb2093d Mon Sep 17 00:00:00 2001 From: julietaplante8 Date: Sun, 13 Apr 2025 08:55:37 +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..4837c01 --- /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](http://123.111.146.2359070) with reinforcement learning (RL) to improve reasoning ability. DeepSeek-R1 [attains](https://connectworld.app) results on par with [OpenAI's](https://git.hitchhiker-linux.org) o1 design on several standards, [including](https://git.cbcl7.com) MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of specialists (MoE) design just recently open-sourced by . This base model is [fine-tuned](https://social.instinxtreme.com) utilizing Group [Relative Policy](https://careers.ecocashholdings.co.zw) Optimization (GRPO), a reasoning-oriented version of RL. The research group likewise performed knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama models and launched several variations of each \ No newline at end of file