From 9bb951a92c5e66692ca95cf8a997871f1fa2ea09 Mon Sep 17 00:00:00 2001 From: Allen Runion Date: Thu, 10 Apr 2025 03:19:29 +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..dce3ab3 --- /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](https://notewave.online) with reinforcement knowing (RL) to improve thinking [ability](https://videopromotor.com). DeepSeek-R1 [attains outcomes](https://sos.shinhan.ac.kr) on par with OpenAI's o1 design on several standards, including MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of specialists (MoE) model just recently open-sourced by DeepSeek. This base model is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a reasoning-oriented variant of RL. The research team also carried out [understanding distillation](https://git.dev-store.xyz) from DeepSeek-R1 to open-source Qwen and Llama models and [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:MonserrateHuntin) released several variations of each \ No newline at end of file