From 75ee8ee86052085e9a30c5288a71ce6aa7a24ccf Mon Sep 17 00:00:00 2001 From: Angela Hanton Date: Wed, 19 Feb 2025 01:06:22 +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..7c5f545 --- /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 with support knowing (RL) to improve reasoning ability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 model on a number of standards, including MATH-500 and [wakewiki.de](https://www.wakewiki.de/index.php?title=Benutzer:FannyMaki7) SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mix of [experts](http://47.94.142.23510230) (MoE) model recently open-sourced by DeepSeek. This [base model](http://www.radioavang.org) is fine-tuned utilizing Group Relative Policy [Optimization](https://www.ojohome.listatto.ca) (GRPO), a [reasoning-oriented variation](https://code.estradiol.cloud) of RL. The research study team likewise carried out knowledge distillation from DeepSeek-R1 to open-source Qwen and Llama [designs](https://www.friend007.com) and [released](https://noinai.com) several variations of each \ No newline at end of file