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In this video, conditional random fields are introduced and compared with other classification models. The tutorial covers the intuition behind their design, equations for classification and parameter training, and distinctions between different classification techniques such as Hidden Markov Models, Naive Bayes, Logistic Regression, and Conditional Random Fields. Conditional Random Fields are commonly used in natural language processing for categorizing different types of data based on the labels they provide.