Advancing Software Engineering Through AI, Federated Learning, and Large Language Models

Advancing Software Engineering Through AI, Federated Learning, and Large Language Models
Author :
Publisher : IGI Global
Total Pages : 375
Release :
ISBN-10 : 9798369335031
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Advancing Software Engineering Through AI, Federated Learning, and Large Language Models by : Sharma, Avinash Kumar

Download or read book Advancing Software Engineering Through AI, Federated Learning, and Large Language Models written by Sharma, Avinash Kumar and published by IGI Global. This book was released on 2024-05-02 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Advancing Software Engineering Through AI, Federated Learning, and Large Language Models Related Books

Advancing Software Engineering Through AI, Federated Learning, and Large Language Models
Language: en
Pages: 375
Authors: Sharma, Avinash Kumar
Categories: Computers
Type: BOOK - Published: 2024-05-02 - Publisher: IGI Global

GET EBOOK

The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional metho
Recent Trends and Future Direction for Data Analytics
Language: en
Pages: 370
Authors: Kumari, Aparna
Categories: Computers
Type: BOOK - Published: 2024-05-14 - Publisher: IGI Global

GET EBOOK

In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industri
Mastering Large Language Models with Python
Language: en
Pages: 547
Authors: Raj Arun R
Categories: Computers
Type: BOOK - Published: 2024-04-12 - Publisher: Orange Education Pvt Ltd

GET EBOOK

A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise KEY FEATURES ● Gain a comprehensive understanding of LLMs within the framework of Gen
Programming Large Language Models with Azure Open AI
Language: en
Pages: 604
Authors: Francesco Esposito
Categories: Computers
Type: BOOK - Published: 2024-04-22 - Publisher: Microsoft Press

GET EBOOK

Use LLMs to build better business software applications Autonomously communicate with users and optimize business tasks with applications built to make the inte
Artificial Intelligence Methods For Software Engineering
Language: en
Pages: 457
Authors: Meir Kalech
Categories: Computers
Type: BOOK - Published: 2021-06-15 - Publisher: World Scientific

GET EBOOK

Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engin