Lora

LoRA, or Low-Rank Adaptation, is a technique used in machine learning to efficiently fine-tune large language models for specific tasks or applications. By enabling developers to adapt complex models with minimal additional training data and computational resources, LoRA has become a relevant tool in the tech community for improving model performance and reducing the environmental impact of AI development.