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Enhancing Unsupervised Learning through Prediction
Through observing and predicting data, one can extract meaningful information and concepts without the need for explicit instructions. Traditional methods focused on transforming input data to reproduce the same output, but lacked a strong mathematical foundation for unsupervised learning. By developing the belief that accurate prediction of the next data point implies understanding of meaningful information, it is possible to create representations that capture concepts and structures in the data, such as vocabulary and syntax.