From 6a7fc93d78dbb166f891113c439c95de6f7659a3 Mon Sep 17 00:00:00 2001 From: andrechew9758 Date: Fri, 7 Feb 2025 07:39:27 +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..698c950 --- /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 (RL) to [improve thinking](https://www.gc-forever.com) capability. DeepSeek-R1 [attains](http://154.64.253.773000) outcomes on par with [OpenAI's](https://www.refermee.com) o1 model on [numerous](http://isarch.co.kr) criteria, [consisting](http://krzsyjtj.zlongame.co.kr9004) of MATH-500 and [surgiteams.com](https://surgiteams.com/index.php/User:CathleenMadison) SWE-bench.
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DeepSeek-R1 is based upon DeepSeek-V3, a mixture of [experts](https://medatube.ru) (MoE) design recently open-sourced by DeepSeek. This base model is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a [reasoning-oriented](https://www.postajob.in) version of RL. The research group also performed knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama designs and [bytes-the-dust.com](https://bytes-the-dust.com/index.php/User:LindseyWalstab9) launched numerous versions of each \ No newline at end of file