Training Set
A training set is the portion of data used to fit a statistical or machine learning model.
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Training-Serving Skew
Training-serving skew is a difference between a machine learning model's performance during training and its performance during serving (production inference).
Weak supervision
Weak supervision is a machine learning paradigm in which models are trained from noisy, limited, imprecise, or programmatically generated labels rather than from large, expensively hand annotated datasets.
WildChat
WildChat is a large public corpus of real conversations between human users and ChatGPT, released by researchers at the Allen Institute for AI (AI2) and Cornell University.
Z-Score Normalization
Z-score normalization, also called standardization, standard score normalization, or z-score scaling, is a data preprocessing technique that transforms a numerical feature so that it has a mean of 0 and a…