Low-Rank Adaptation (LoRA) is extensively utilized in text-to-image models for the accurate rendition of specific elements like distinct characters or unique styles in generated images. Our project ...

We introduce LoRA-Ensemble, a parameter-efficient deep ensemble method for self-attention networks, which is based on Low-Rank Adaptation (LoRA). Initially developed for efficient LLM fine-tuning, we ...

One of the most notable findings of the study is the efficiency of reasoning training. Unlike traditional approaches that ...

On February 10, 2025, the Hangzhou Internet Court announced that an unnamed defendant’s generative artificial intelligence’s ...

MediaTek Dimensity 9400 is the first mobile chipset to support on-device LoRA (Low-Rank Adaptation of Large Language Models) training, enabling better AI performance without needing constant cloud ...

Parameter-efficient fine-tuning methods, such as Low-Rank Adaptation (LoRA), enable researchers to optimize models without requiring extensive computational resources. Additionally, hyperparameter ...

AI In AEC. AI rendering has impressed, but AI model creation has not. We asked Greg Schleusner, HOK for his thoughts on the ...