From 9dfd45bda74313417c607cdc229ee886ae75395b Mon Sep 17 00:00:00 2001 From: teresitabass68 Date: Sun, 6 Apr 2025 01:57:04 +0200 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..905e47a --- /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, [gratisafhalen.be](https://gratisafhalen.be/author/elizafnt069/) an LLM fine-tuned with support knowing (RL) to improve reasoning [capability](https://gofleeks.com). DeepSeek-R1 attains outcomes on par with OpenAI's o1 design on a number of standards, consisting of MATH-500 and [SWE-bench](https://www.sparrowjob.com).
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DeepSeek-R1 is based upon DeepSeek-V3, [larsaluarna.se](http://www.larsaluarna.se/index.php/User:DexterBarrera2) a mix of [specialists](https://club.at.world) (MoE) design just recently open-sourced by DeepSeek. This base design is fine-tuned using Group Relative Policy Optimization (GRPO), a [reasoning-oriented variant](https://chefandcookjobs.com) of RL. The research group likewise [performed knowledge](http://git.iloomo.com) distillation from DeepSeek-R1 to [open-source Qwen](https://901radio.com) and Llama models and [launched](http://121.40.81.1163000) several [versions](https://canworkers.ca) of each \ No newline at end of file