Sequence modeling predicts patterns in ordered data like text, speech, or time series. It powers applications from language translation and stock forecasting to music generation. Data scientists, AI engineers, and researchers benefit, using recurrent or transformer networks to capture dependencies across steps, enabling smarter predictions in chatbots, finance, and healthcare.
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