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Today's tutorial is about conditional random fields (CRFs) which are a more general form of hidden Markov models (HMMs). CRFs can be considered as an extension of HMMs to handle more complex modeling scenarios. Understanding the transition from specific models like HMMs to more general models like CRFs is crucial in data science. The video also mentions using a new microphone, and welcomes feedback on sound quality.