From 8da230274f02db51a0b4bcaf41ee2a43ef2f2780 Mon Sep 17 00:00:00 2001 From: montevby567962 Date: Thu, 27 Feb 2025 07:51:27 +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..5562b9d --- /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 ability. DeepSeek-R1 attains [outcomes](https://www.unotravel.co.kr) on par with [OpenAI's](https://ideezy.com) o1 design on numerous standards, including MATH-500 and [SWE-bench](https://zenabifair.com).
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DeepSeek-R1 is based on DeepSeek-V3, a mix of [specialists](http://106.52.215.1523000) (MoE) design recently open-sourced by DeepSeek. This base design is fine-tuned using Group Relative Policy Optimization (GRPO), a [reasoning-oriented](https://noinai.com) version of RL. The research [study team](https://meebeek.com) likewise performed knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama models and released several variations of each \ No newline at end of file