Bing Liu, Sahisnu Mazumder
Lifelong and Continual Learning Dialogue Systems provides an in-depth exploration of modern approaches to building adaptive conversational AI capable of learning throughout their operational lifespan. The book covers fundamental concepts and advanced methodologies in lifelong learning, continual learning, and dialogue system design.
Readers will gain insights into challenges such as catastrophic forgetting, knowledge retention, domain adaptation, and incremental learning in dialogue systems. With a focus on practical architectures, learning strategies, and real-world applications, this book is ideal for AI researchers, machine learning engineers, and graduate students specializing in natural language processing and conversational AI.
Whether you are developing chatbots, virtual assistants, or interactive AI systems, this book serves as a comprehensive guide to designing dialogue systems that evolve, adapt, and improve continuously.
Language
English
Publisher
Springer International Publishing
Year Published
2024
Categories
Artificial Intelligence (AI)