Researchers at the University of Cambridge Propose AnchorAL: A Unique Machine Learning Method for Active Learning in Unbalanced Classification Tasks

The abundance of web-scale textual data available has been a major factor in the development of generative language models, such as those pretrained as multi-purpose foundation models and tailored for particular Natural Language Processing (NLP) tasks. These models use enormous volumes of text to pick up complex linguistic structures and patterns, which they subsequently use […]

The post Researchers at the University of Cambridge Propose AnchorAL: A Unique Machine Learning Method for Active Learning in Unbalanced Classification Tasks appeared first …

active learning ai paper summary ai shorts applications artificial intelligence cambridge classification data development editors pick foundation generative language language models language processing machine machine learning major natural natural language natural language processing nlp processing researchers scale staff tasks tech news technology textual university university of cambridge web