Advancing Software Engineering Through AI, Federated Learning, and Large Language Models (Hardcover) (ISBN-13: 9798369335024)

The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.

Author: Avinash Kumar Sharma
ISBN-13: 9798369335024
Publisher: IGI Global
Language: English
Published: 05/02/2024
Pages: 330
Format: Hardcover
Weight: 2.59lbs
Size: 11.00h x 8.50w x 0.88d