From b09808381e9a27b99d1b0f34fbedc304aa8e1282 Mon Sep 17 00:00:00 2001 From: lethaporteus6 Date: Sun, 16 Feb 2025 02:43:23 +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..1c1953a --- /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 with [reinforcement knowing](http://43.136.17.1423000) (RL) to improve reasoning capability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 design on a number of benchmarks, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of professionals (MoE) design just recently open-sourced by [DeepSeek](https://eduberkah.disdikkalteng.id). This base model is fine-tuned utilizing Group Relative Policy [Optimization](https://1millionjobsmw.com) (GRPO), a [reasoning-oriented variant](http://121.36.62.315000) of RL. The research team likewise performed knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama designs and released a number of variations of each \ No newline at end of file