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Today's tutorial focuses on Conditional Random Fields (CRFs), which are discussed as a more general form of Hidden Markov Models (HMMs). The video explains that HMMs can be seen as specific instances of CRFs, prompting the question of why we would need to transition from something specific like HMMs to a more complex model like CRFs in data science. The narrator also introduces a new microphone setup, seeking feedback on the sound quality.
