From 06cd18aca48e506ffc60ffd3e5da4bf99550a001 Mon Sep 17 00:00:00 2001
From: Adolfo Washburn <adolfo.washburn.9012@emailglobal.website>
Date: Mon, 7 Apr 2025 23:23:25 +0200
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..37428ba
--- /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](https://gitea.carmon.co.kr) (RL) to improve reasoning capability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 model on several benchmarks, [including](https://social.stssconstruction.com) MATH-500 and SWE-bench.<br>
+<br>DeepSeek-R1 is based on DeepSeek-V3, a mix of specialists (MoE) model recently open-sourced by DeepSeek. This base model is fine-tuned using Group Relative Policy Optimization (GRPO), a  version of RL. The research group also carried out knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama models and launched a number of versions of each
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