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Calibrate Before Use: Enhancing Language Models for Few-Shot Tasks

May 16, 2024May 15, 2024satriaaliLeave a Comment

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 […]

Calibrate Before Use: Enhancing Language Model Performance with Few-Shot Learning

May 5, 2024satriaaliLeave a Comment

Calibrate before use: improving few-shot performance of language models – In the realm of language models, “calibrate before use” has emerged as a crucial concept for unlocking their full potential in few-shot learning tasks. By refining their predictions, calibration techniques empower language models to achieve greater accuracy, precision, and recall even with limited training data. […]