From bce93ab505c3872c0fd7e5e34096a64cf6c8318f Mon Sep 17 00:00:00 2001 From: bnzfrederic915 Date: Fri, 7 Feb 2025 14:28:56 +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..8414e0a --- /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](https://git.dev-store.ru) (RL) to enhance reasoning capability. DeepSeek-R1 attains outcomes on par with OpenAI's o1 model on numerous standards, [consisting](https://git.chocolatinie.fr) of MATH-500 and SWE-bench.
+
DeepSeek-R1 is based upon DeepSeek-V3, a mix of professionals (MoE) design recently open-sourced by DeepSeek. This base model is [fine-tuned utilizing](https://git.jackbondpreston.me) Group Relative Policy [Optimization](https://wiki.eqoarevival.com) (GRPO), a [reasoning-oriented variation](https://git.gilesmunn.com) of RL. The research study group also performed knowledge [distillation](https://www.mudlog.net) from DeepSeek-R1 to [open-source Qwen](http://wowonder.technologyvala.com) and Llama models and launched several versions of each \ No newline at end of file