
Task-Specific Data Selection: A Practical Approach to Enhance Fine-Tuning Efficiency and Performance
In the evolving field of machine learning, fine-tuning foundation models such as BERT or LLAMA for specific downstream tasks has become a prevalent approach. However, the success of such fine-tuning depends not only on the […]