Mmastodon TechnologyAI first seen 3 d ago, last 3 d ago, peak #12
Active learning lets AI pick the most useful data to label
Original: 🎯 Nell’apprendimento attivo, l’AI sceglie i dati più utili da far annotare, puntando a imparare con meno esempi etichett
A piece published by Italian tech outlet Aibay explains active learning in machine learning: instead of labelling data at random, the AI model itself selects the examples that would be most informative for humans to annotate, aiming to reach good performance with far fewer labelled samples. The approach is presented as a way to cut annotation costs and speed up training, part of broader coverage of artificial intelligence and machine learning techniques.
Why now: It explains a cost-saving AI training technique at a time of widespread interest in making machine learning cheaper and more efficient.
Aibaymachine learningartificial intelligenceactive learning
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