From 37234de064d1a9c83386af5b2f719cb0f8645cb9 Mon Sep 17 00:00:00 2001 From: helainew222632 Date: Sun, 9 Feb 2025 21:23:45 +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..52be63e --- /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](http://89.234.183.973000) DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to improve thinking [capability](https://flixtube.info). DeepSeek-R1 attains results on par with [OpenAI's](https://pk.thehrlink.com) o1 model on numerous standards, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of experts (MoE) model recently [open-sourced](https://groups.chat) by DeepSeek. This is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented version of RL. The research group also performed understanding distillation from DeepSeek-R1 to [open-source Qwen](https://foris.gr) and Llama models and launched several variations of each \ No newline at end of file