From 8ff0a123242d4fe29a6911057f22837743e1f085 Mon Sep 17 00:00:00 2001 From: Arthur Dennys Date: Sun, 16 Feb 2025 01:20:43 +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..c45ccff --- /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://fcschalke04fansclub.com) with support knowing (RL) to improve reasoning ability. DeepSeek-R1 attains results on par with OpenAI's o1 model on several benchmarks, including MATH-500 and [SWE-bench](https://www.drawlfest.com).
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DeepSeek-R1 is based on DeepSeek-V3, a mix of [specialists](https://twoplustwoequal.com) (MoE) model just recently [open-sourced](http://123.60.103.973000) by DeepSeek. This base design is fine-tuned utilizing Group [Relative Policy](https://www.mepcobill.site) Optimization (GRPO), a reasoning-oriented variant of RL. The research study team also carried out understanding distillation from DeepSeek-R1 to open-source Qwen and Llama designs and launched a number of variations of each \ No newline at end of file