Self-Supervised Learning
The conversation highlights the transformative impact of self-supervised learning on deep learning, particularly in natural language processing. With the advent of powerful pre-trained models, even those with limited labeled data can achieve impressive performance. By leveraging vast amounts of unlabeled text from the web, models can learn complex linguistic patterns and nuances, making deep learning more accessible than ever.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 583: The State of Natural Language Processing — with Rongyao Huang
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