Calibrate Before Use: Enhancing Language Model Performance in Few-Shot Scenarios
Calibrate before use: improving few-shot performance of language models introduces a groundbreaking approach to enhancing the capabilities of language models in low-data scenarios. This comprehensive exploration delves into the techniques, applications, and considerations involved in calibrating language models to maximize their performance with limited training data. Through a captivating narrative, we uncover the intricacies of […]
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