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This video introduces conditional random fields, discussing their place among other classification models. It provides insight into their design and explains the equations used for classification and parameter training. The tutorial compares CRFs to other techniques like HMMs, naive bayes, and logistic regression, highlighting differences in the labels they provide for text instances. CRFs are commonly used in natural language processing for categorizing text instances.