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This lecture covers the concepts of infimum, supremum, open and closed intervals, and absolute value. It explores the properties of limit models and the behavior of deep linear neural networks. The instructor discusses the concepts of infimum and supremum in detail, providing examples and proofs to illustrate the theoretical concepts.