From 65e50a9492f467dba468bab520464a92dcf99595 Mon Sep 17 00:00:00 2001
From: Charity Toohey <charity.toohey_9542@funemails.shop>
Date: Fri, 7 Feb 2025 06:57:35 +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..95be5b0
--- /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 support learning (RL) to enhance reasoning ability. DeepSeek-R1 attains outcomes on par with [OpenAI's](http://git.lovestrong.top) o1 model on several criteria, including MATH-500 and SWE-bench.<br>
+<br>DeepSeek-R1 is based upon DeepSeek-V3, a [mixture](https://peopleworknow.com) of experts (MoE) design recently open-sourced by DeepSeek. This base design is fine-tuned using Group Relative Policy Optimization (GRPO), a reasoning-oriented version of RL. The research study team likewise performed understanding distillation from DeepSeek-R1 to open-source Qwen and  [wiki.whenparked.com](https://wiki.whenparked.com/User:Bernadette71H) Llama models and launched a number of variations of each
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