Reliable Large Models with Knowledge Augmentation
Reliable Large Models with Knowledge Augmentation
English | 2026 | ISBN: 9819573459 | 457 Pages | PDF EPUB (True) | 111 MB
English | 2026 | ISBN: 9819573459 | 457 Pages | PDF EPUB (True) | 111 MB
In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have emerged as transformative tools, yet they face persistent challenges such as hallucination, knowledge obsolescence, and limited reasoning depth. The book "Knowledge-Enhanced Large Models" addresses these gaps head-on, offering a comprehensive roadmap for integrating structured knowledge systems―particularly knowledge graphs―with cutting-edge AI models to build more reliable, accurate, and context-aware intelligent systems. This book is tailored for AI researchers, data scientists, engineers, students, and practitioners seeking to harness the synergy between large models and knowledge representation technologies. It balances theoretical rigor with practical implementation, making it equally valuable for academic exploration and industrial application.