From fa96c610c2254a8e1b0899c817aa507ee5b9bb81 Mon Sep 17 00:00:00 2001
From: syreeta26z7885 <syreeta26z7885@noreply.localhost>
Date: Sat, 8 Feb 2025 20:08:41 +0100
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..a0e290a
--- /dev/null
+++ b/DeepSeek-Open-Sources-DeepSeek-R1-LLM-with-Performance-Comparable-To-OpenAI%27s-O1-Model.md
@@ -0,0 +1,2 @@
+<br>DeepSeek open-sourced DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to enhance thinking capability. DeepSeek-R1 attains results on par with OpenAI's o1 design on several benchmarks, consisting of MATH-500 and [SWE-bench](https://placementug.com).<br>
+<br>DeepSeek-R1 is based upon DeepSeek-V3, a mixture of [specialists](http://git.info666.com) (MoE) design recently [open-sourced](https://www.jungmile.com) by DeepSeek. This base design is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a [reasoning-oriented variant](https://sneakerxp.com) of RL. The research study group also performed understanding distillation from DeepSeek-R1 to open-source Qwen and Llama models and released several versions of each
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