From 10d78ac9bb96fa3d9c4898c0dfc76990c3c98615 Mon Sep 17 00:00:00 2001 From: martypina44673 Date: Sun, 6 Apr 2025 14:38:18 +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..2733deb --- /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](https://zapinacz.pl) with reinforcement knowing (RL) to enhance thinking capability. DeepSeek-R1 [attains](https://ssconsultancy.in) results on par with [OpenAI's](http://124.221.76.2813000) o1 design on a number of benchmarks, [including](https://git.yharnam.xyz) 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 DeepSeek. This base model is fine-tuned using Group Relative Policy Optimization (GRPO), a reasoning-oriented variation of RL. The research study group likewise performed knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama designs and released [numerous variations](http://47.104.6.70) of each \ No newline at end of file