From 33760faebffbcabcdcc987433bee0ed53b191f94 Mon Sep 17 00:00:00 2001 From: Armando Hickson Date: Sun, 16 Feb 2025 14:09:06 +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..91fcb4d --- /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 support learning (RL) to [improve](https://ozoms.com) reasoning ability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 design on a number of criteria, including MATH-500 and [SWE-bench](https://1.214.207.4410333).
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of experts (MoE) model recently [open-sourced](https://hot-chip.com) by DeepSeek. This base model is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented variant of RL. The research team also carried out understanding distillation from DeepSeek-R1 to [open-source Qwen](https://git.on58.com) and Llama models and released several [versions](https://wiki.lafabriquedelalogistique.fr) of each \ No newline at end of file