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This video introduces Conditional Random Fields and discusses their role among other classification models. The tutorial provides insight into their design, explains the equations used for classification and parameter training. Various classification techniques are covered, starting from Hidden Markov Models and moving on to Naive Bayes and Logistic Regression. Conditional Random Fields are highlighted as a common technique in natural language processing, emphasizing the distinctions in the type of labels they provide for categorizing text instances.