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Many businesses view "brand" as something important, but somewhat elusive when it comes to trying to measure its performance. The fact is that what is not measured is not managed - and as a result, ...

Abstract: Many transfer learning methods have been proposed to implement fault transfer diagnosis, and their loss functions are usually composed of task-related losses, distribution distance losses, ...

🌟 What is Turbo-Alignment? Turbo-Alignment is a library designed to streamline the fine-tuning and alignment of large language models, leveraging advanced techniques to enhance efficiency and ...

This is the PyTorch implementation of paper: Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation (LREC-COLING 2024). We carry out our experiments ...