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In this video, I introduce conditional random fields and discuss how they compare to other classification models we have covered. I provide insight into their design and explain the equations used for classification and parameter training. We have already learned about various classification techniques such as HMMs, naive bayes, and logistic regression. Conditional random fields are commonly used in natural language processing for categorization. Different classification techniques provide distinct labels, with naive bayes and logistic regression offering a single label for a text instance, while HMMs and CRFs are designed for more complex labeling tasks.