Calibrate Before Use: Enhancing Language Models for Few-Shot Tasks
Calibrate before use: improving few-shot performance of language models – In the realm of language models, “Calibrate Before Use: Improving Few-Shot Performance” emerges as a pivotal concept, promising to revolutionize the way we leverage these powerful tools. Few-shot learning, a crucial aspect of language model development, faces unique challenges that calibration seeks to address, unlocking […]
Continue Reading