From d2e92ba7cec38cd442ae716c9afe37885cc77586 Mon Sep 17 00:00:00 2001 From: kathieokane050 Date: Sat, 8 Feb 2025 22:13:40 +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..a2ad6b8 --- /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](http://parasite.kicks-ass.org3000) DeepSeek-R1, an LLM fine-tuned with support learning (RL) to enhance reasoning ability. DeepSeek-R1 attains results on par with OpenAI's o1 model on several benchmarks, [including](http://gogsb.soaringnova.com) MATH-500 and SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mix of professionals (MoE) design recently open-sourced by DeepSeek. This [base model](https://raumlaborlaw.com) is fine-tuned using Group Relative Policy Optimization (GRPO), a reasoning-oriented variant of RL. The research study team also [carried](https://sujansadhu.com) out knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama designs and released [numerous variations](https://www.ignitionadvertising.com) of each \ No newline at end of file