Description

Sequence modeling is the task of predicting or generating sequences of data points. It involves analyzing and understanding patterns in sequential data, such as time series, natural language, or DNA sequences. Sequence modeling is crucial in many machine learning applications where the order of data points is important. Various techniques, including recurrent neural networks and transformer models, are used for sequence modeling tasks.

Examples

• 📝 Language modeling
• 🎵 Music generation
• 📊 Time series forecasting

Applications