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Today's tutorial focuses on Conditional Random Fields (CRFs), a more general form of Hidden Markov Models (HMMs). The narrator introduces CRFs as an extension of HMMs and emphasizes the importance of understanding why we are using more complex models in data science. The narrator also mentions using a new microphone and asks for feedback on the sound quality. Watch to learn more about the relationship between CRFs and HMMs.