AI-Driven Software Engineering: Optimizing Distributed Systems for Scalable Machine Learning Workflows
This paper explores the integration of artificial intelligence techniques into software engineering practices to optimize distributed systems for scalable machine learning (ML) workflows. As ML models grow in complexity and data volume, traditional system design approaches struggle to meet the demands of performance, s...