Daniele Rege Cambrin

Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning

Large Language Models (LLMs) have demonstrated impressive performance across various tasks. However, current training approaches combine standard cross-entropy loss with extensive data, human feedback, or ad hoc methods to enhance performance. These solutions are often not scalable or feasible due t…