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Exploring the Evolution of Deep Learning and Data Annotation for Large Models
Exploration of the development of deep learning, highlighting the versatility and effectiveness of a prominent architecture from 2017, the training of large-scale transformers on extensive datasets, including manual data annotation, and the role of human interaction in refining models for improved predictive capabilities.