Glossary

Multi-Document Summarization is an effective technique that compiles key points from multiple documents into a brief report, making large-scale information easily understandable and accessible for the users.

In Multi-Swarm Optimization, multiple swarms imitate natural flock or school behavior for problem-solving. This particle swarm optimization variant emphasizes iterative candidate solution improvement.

Multi-Task Learning Models in AI refer to advanced algorithms trained to manage multiple tasks at once. They utilize shared insights, leveraging common attributes and differences to enhance overall performance.