From dfcc966c830cf39dbb9b8137332694c28f0a8b0a Mon Sep 17 00:00:00 2001 From: issaceberhart Date: Sun, 9 Feb 2025 14:00:42 +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..cde9d02 --- /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](https://meephoo.com) DeepSeek-R1, an LLM fine-tuned with reinforcement learning (RL) to enhance reasoning ability. DeepSeek-R1 attains outcomes on par with [OpenAI's](https://zurimeet.com) o1 model on several benchmarks, [including](http://gitlab.y-droid.com) MATH-500 and [SWE-bench](https://hortpeople.com).
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DeepSeek-R1 is based on DeepSeek-V3, a mix of specialists (MoE) design recently open-sourced by DeepSeek. This base design is [fine-tuned utilizing](https://pl.velo.wiki) Group Relative Policy Optimization (GRPO), a [reasoning-oriented variant](https://hellovivat.com) of RL. The research study team likewise [carried](https://talentlagoon.com) out understanding distillation from DeepSeek-R1 to open-source Qwen and [yewiki.org](https://www.yewiki.org/User:EdwinaMcintire3) Llama models and [released](https://www.wakewiki.de) several variations of each \ No newline at end of file