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Full Description
Generative AI (GenAI) is the hottest new area of AI, accelerating innovations affecting all industries and showcasing AI's ability to present human-like language capabilities with large language models (LLMs). This book builds a solid foundation for the technology underlying GenAI Models, LLM, and foundation and reasoning models for the No-Code audience by explaining the models' workings in simple English. It then takes the reader on a journey to find out where there are gaps to innovate. Each chapter outlines the state of research in each topic and invites learners to build on this research to think about ethical implications and balance it with innovation to benefit everyone. The author covers the technological, product, and societal impact of Generative AI to give a comprehensive guide for this important technology. This book will help the data scientist, product manager, and business leader alike because it covers the API economy and critical industries impacted and offers a framework to think about automation and jobs impacted and what competencies are needed to excel in GenAI and offers an in-depth guide to build GenAI products and applications.
Contents
1. What is Generative AI, and Why Does it Matter? 2. Technology of Foundation Models, General Adversarial Networks (GAN), Synthetic Data, Attention, Diffusion Models 3. Generative AI Models, Models Explained in English, Research in GenAI, Model Modality, Semi-Supervised AI 4. Large Language Models, LLM, How LLM Works, State of research of LLMs, Ethical Implications of Building LLMs 5. LLM for Global Languages, Country-specific LLMs, Mistral, Aya 6. What is Hallucination, Causes, and the State of Research of Hallucination in LLMs 7. Data Fine-tuning and Retrieval Augmented Generation (RAG), Difference Between RAG and Fine-tuning, State of Research of Fine-tuning and RAG 8. LLM Capabilities, Reasoning Models, Q&A Models, State of Research in Reasoning 9. The API Economy, GenAI Market Trends, GenAI Applications 10. Industries impacted by GenAi: Software Engineering, Education, e-commerce, Customer Support 11. Ethical Product Design with GenAI, Prompt Engineering, and GenAI Middleware 12. Enterprise GenAI, Data Modeling, Automated Buildings 13. Ethical Responsible GenAI, which Industries are Impacted More by GenAI, Automation and Jobs, Gender Bias and Lack of Explainability 14. AI and Social Change, Anthropomorphism, Voice Clones and Deep Fakes, Competencies Needed for Success with GenAI 15. Appendix: Models for Reference, Research References, and Ethical Governance Frameworks
