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16min chapter
Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning
Lex Fridman Podcast
Understanding Self-Supervised Learning in AI
This chapter explores the intricacies of artificial intelligence, focusing on supervised and self-supervised learning. It critiques common misconceptions about unsupervised learning and highlights the effectiveness of self-supervised methodologies, particularly in natural language processing. The discussion also addresses challenges in visual and video data modeling, emphasizing the complexities of developing and training predictive models in real-world scenarios.
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