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Today's tutorial is about Conditional Random Fields (CRFs), which are a more general form of Hidden Markov Models (HMMs). The video discusses the transition from specific models like HMMs to more generic and complex models like CRFs in data science. The speaker mentions using a new microphone and asks for feedback on the sound quality. The importance of understanding why models are becoming more complex and the need for additional features in them is emphasized.
