Calibrate Before Use: Enhancing Language Model Performance in Few-Shot Scenarios
Calibrate before use: improving few-shot performance of language models – Calibrating language models before use holds the key to unlocking their true potential, particularly in scenarios where data scarcity poses a challenge. By employing techniques like temperature scaling and Platt scaling, we can refine these models, enhancing their accuracy, robustness, and overall effectiveness. This comprehensive […]
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