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Today's tutorial is about conditional random fields (CRFs), a more general form of hidden Markov models (HMMs). CRFs can be seen as a complex version of HMMs. When transitioning from specific models like HMMs to more generic ones like CRFs, it's essential to understand the reasons behind this move and the benefits of adding extra features. Your feedback on the new microphone used in this video is also welcomed.