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Today's tutorial is about Conditional Random Fields (CRFs), which can be viewed as a general form of Hidden Markov Models (HMMs). Understanding the transition from a specific model like HMM to a more generic one like CRF is important in data science. The tutorial emphasizes the importance of questioning the need for complexity and additional features in modeling. The speaker also mentions using a new microphone and requests feedback on sound quality.