{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Active Learning — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Active Learning

A training approach where the model identifies which data points it is most uncertain about and requests labels for those specific examples, rather than being trained on a randomly selected dataset. This makes active learning particularly useful when labeled data is expensive or time-consuming to produce, as human annotation effort is focused where it matters most, achieving strong performance with considerably less labeled data.

Source: gaks.ai/glossary/active-learning →
"}