From 3805026976fdc83ab1b209bd4f0d458df266afeb Mon Sep 17 00:00:00 2001 From: Arianne Crumpton Date: Fri, 21 Feb 2025 01:19:45 +0100 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..91e7553 --- /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://git.xhkjedu.com) with reinforcement learning (RL) to enhance thinking ability. DeepSeek-R1 attains results on par with OpenAI's o1 design on numerous standards, [wiki.dulovic.tech](https://wiki.dulovic.tech/index.php/User:JakeLaTrobe319) including MATH-500 and [yewiki.org](https://www.yewiki.org/User:RobbinRoderic82) SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of professionals (MoE) design recently open-sourced by DeepSeek. This base design is fine-tuned using Group Relative Policy Optimization (GRPO), a [reasoning-oriented variation](https://alapcari.com) of RL. The research study group also carried out understanding 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