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LoRA is a groundbreaking technique that optimizes language models by dramatically reducing the number of trainable parameters, preserving efficiency, and maintaining or even enhancing performance across diverse tasks.

In machine learning and deep learning, there's a fundamental concept that plays a pivotal role in a variety of applications, particularly in Natural Language Processing (NLP). This concept is called 'attention'.