Sequence Modeling

Sequence modeling is a technique used by computers to understand and predict patterns in ordered data, like sentences, time series, or biological sequences. It involves analyzing the relationships between elements based on their positions and context, allowing the system to generate or interpret data accurately. For example, it helps language models predict the next word in a sentence or analyze stock market trends over time. Essentially, sequence modeling captures the structure and dependencies within ordered information, enabling machines to process and make sense of complex, sequential data effectively.