From 9e7ba2b9f253eabdd1eca75e0bba3c0d926d5a5a Mon Sep 17 00:00:00 2001 From: Cleveland Redd Date: Sat, 15 Feb 2025 02:43:33 -0600 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..c179a77 --- /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](http://47.93.16.2223000) DeepSeek-R1, an LLM fine-tuned with support knowing (RL) to enhance [reasoning capability](https://zidra.ru). DeepSeek-R1 attains results on par with OpenAI's o1 design on several standards, including MATH-500 and SWE-bench.
+
DeepSeek-R1 is based on DeepSeek-V3, a mixture of specialists (MoE) model recently [open-sourced](http://famedoot.in) by DeepSeek. This [base design](https://niaskywalk.com) is fine-tuned utilizing Group Relative Policy Optimization (GRPO), a [reasoning-oriented](http://47.104.234.8512080) version of RL. The research study group likewise carried out [understanding distillation](https://dimans.mx) from DeepSeek-R1 to open-source Qwen and Llama designs and launched several [versions](https://vidhiveapp.com) of each \ No newline at end of file