Generative AI

Generative AI
Research and Innovation for Professionals

Computing and Information Science and Technology

Generative AI
Research and Innovation for Professionals Forthcoming

Author: Sudha Jamthe, Business School of AI, USA

ISBN: 9788743808138 e-ISBN: 9788743808121

Available: March 2026

Generative AI Explained demystifies LLMs, foundation models, and diffusion networks in simple terms. It covers RAG, fine-tuning, hallucination risks, and ethical AI design. Industry impacts are analyzed (software, education, e-commerce) as well as societal challenges (bias, jobs, deepfakes). It includes API economy trends, prompt engineering, and responsible deployment frameworks.
AI, artificial intelligence, technology, innovation, AI research, Generative AI, LLM, large language models, foundation models, data science
  • What is Generative AI, and Why Does it Matter?
  • Technology of Foundation Models, General Adversarial Networks (GAN), Synthetic Data, Attention, Diffusion Models
  • Generative AI Models, Models Explained in English, Research in GenAI, Model Modality, Semi-Supervised AI
  • Large Language Models, LLM, How LLM Works, State of research of LLMs, Ethical Implications of Building LLMs
  • LLM for Global Languages, Country-specific LLMs, Mistral, Aya
  • What is Hallucination, Causes, and the State of Research of Hallucination in LLMs
  • Data Fine-tuning and Retrieval Augmented Generation (RAG), Difference Between RAG and Fine-tuning, State of Research of Fine-tuning and RAG
  • LLM Capabilities, Reasoning Models, Q&A Models, State of Research in Reasoning
  • The API Economy, GenAI Market Trends, GenAI Applications
  • Industries impacted by GenAi: Software Engineering, Education, e-commerce, Customer Support
  • Ethical Product Design with GenAI, Prompt Engineering, and GenAI Middleware
  • Enterprise GenAI, Data Modeling, Automated Buildings
  • Ethical Responsible GenAI, which Industries are Impacted More by GenAI, Automation and Jobs, Gender Bias and Lack of Explainability
  • AI and Social Change, Anthropomorphism, Voice Clones and Deep Fakes, Competencies Needed for Success with GenAI
  • Appendix: Models for Reference, Research References, and Ethical Governance Frameworks