- Gain insight into diverse AI techniques and methodologies
- Learn from both successful and failed AI applications
- Identify the capabilities and limitations of AI systems
- Understand successful and failed uses of AI in business
- See where human cognition still exceeds AI
- Bust common myths like AI's threat to jobs and civilization
- Manage AI projects effectively
Inside AI takes you on a journey through artificial intelligence, from AI's origins in traditional expert systems all the way to deep learning and Large Language Models. There's no hype here--you'll get the grounded, evidence-based insights that are vital for making strategic decisions and preparing your business for the future. Foreword by Raymond Kendall. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Artificial Intelligence enthusiasts promise everything from human-like collaboration on everyday tasks to the end of work as we know it. Is AI just a flash in the pan, or can it really transform how you do business? This intriguing book sifts through the hype and separates the truth from the myths, with clear advice on what AI can--and can't--achieve. About the book Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language Models. Its accessible and jargon-free explanations of leading AI techniques showcase how AI delivers tangible advantages to businesses. Both inspiring and practical, this book provides a proven framework for developing successful AI applications. What's inside
- Insights from successful and failed AI applications
- A survey of AI techniques and methodologies
- Bust common AI myths
- Manage AI projects effectively
About the reader For anyone seeking grounded insights into AI's capabilities, including business leaders and decision makers. About the author Akli Adjaoute is the founder of multiple AI-related companies. He served as an adjunct professor at the University of San Francisco and as Scientific Committee Chair and Head of the AI department at EPITA. The technical editor on this book was Richard Vaughan. Table of contents 1 The rise of machine intelligence
2 AI mastery: Essential techniques, Part 1
3 AI mastery: Essential techniques, Part 2
4 Smart agent technology
5 Generative AI and large language models
6 Human vs. machine
7 AI doesn't turn data into intelligence
8 AI doesn't threaten our jobs
9 Technological singularity is absurd
10 Learning from successful and failed applications of AI
11 Next-generation AI
A Tracing the roots: From mechanical calculators to digital dreams
B Algorithms and programming languages