From eb95b8ca5d4fbdb5c29ceeee722b052db6192858 Mon Sep 17 00:00:00 2001 From: oliverleichhar Date: Sun, 16 Feb 2025 02:20:48 +0100 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..bfcfe53 --- /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 learning (RL) to enhance thinking capability. DeepSeek-R1 [attains outcomes](https://uconnect.ae) on par with OpenAI's o1 model on several criteria, consisting of MATH-500 and SWE-bench.
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DeepSeek-R1 is based on DeepSeek-V3, a mixture of experts (MoE) design just recently open-sourced by DeepSeek. This [base design](https://nujob.ch) is fine-tuned using Group Relative Policy Optimization (GRPO), a [reasoning-oriented variation](https://securityjobs.africa) of RL. The research group likewise performed understanding distillation from DeepSeek-R1 to [open-source Qwen](http://121.41.31.1463000) and [Llama models](https://aladin.tube) and [released](http://175.25.51.903000) a number of versions of each \ No newline at end of file