From d7b252ebdf600ec58b8e5ca8eecbd6192ca3b377 Mon Sep 17 00:00:00 2001 From: Alda Huot Date: Sun, 9 Feb 2025 00:02:50 +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..2b33d86 --- /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 learning (RL) to enhance thinking capability. DeepSeek-R1 attains [outcomes](https://gigen.net) on par with [OpenAI's](https://git.karma-riuk.com) o1 design on a number of standards, consisting of MATH-500 and [SWE-bench](https://drshirvany.ir).
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of experts (MoE) design just recently open-sourced by DeepSeek. This base model is fine-tuned using Group Relative Policy Optimization (GRPO), a [reasoning-oriented](https://77.248.49.223000) version of RL. The research study group also carried out [knowledge distillation](https://twentyfiveseven.co.uk) from DeepSeek-R1 to open-source Qwen and Llama designs and launched numerous variations of each \ No newline at end of file