Sequence prediction is a process used in various fields, such as machine learning and data analysis, to forecast future events based on past data. It involves analyzing a series of data points or events to identify patterns and trends. For example, predicting the next word in a sentence or the next number in a sequence relies on understanding the relationships between previous elements. In practical applications, sequence prediction can be found in areas like weather forecasting, where meteorologists use historical weather data to predict future conditions. Similarly, recommendation systems on platforms like Netflix or Spotify analyze user behavior to suggest movies or songs that users might enjoy based on their past choices.