Delve into cutting-edge insights, groundbreaking research, and thought-provoking perspectives from Pearson’s world class authors to unlock your full potential using AI.
With all the news OpenAI, Google, Microsoft, and Apple recently made about their plans to accelerate their AI efforts, we’re sharing a curated AI summer reading list to help AI enthusiasts stay ahead of the curve.
Delve into cutting-edge insights, groundbreaking research, and thought-provoking perspectives from Pearson’s world class authors to unlock your full potential using AI.
1. Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs by Sinan Ozdemir
Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. A new edition of this book is coming later this year.
2. Responsible AI: Best Practices for Creating Trustworthy AI Systems by Qinghua Lu, Liming Zhu, Jon Whittle, Xiwei Xu
AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans who rely on them. In this timely, practical guide, the authors illuminate issues of AI responsibility across the entire system lifecycle and all system components, offer concrete and actionable guidance for addressing those issues, and demonstrate these approaches in detailed case studies.
3. The AI Revolution in Project Management: Elevating Productivity with Generative AI by Vijay Kanabar, Jason Wong, with foreword by Ricardo Viana Vargas
In a world where technology is rapidly evolving, the fusion of project management and artificial intelligence stands at the forefront of innovation. The AI Revolution in Project Management delves deep into the transformative power of generative AI tools like OpenAI’s ChatGPT, Google’s Bard (now Gemini), and Anthropic’s Claude. Such tools promise to reshape industries and revolutionize how we manage projects. To harness this potential, innovative AI-skilled project managers are essential.
4. The AI Revolution in Medicine: GPT-4 and Beyond by Peter Lee, Carey Goldberg, Isaac Kohane
Three insiders had months of early access to GPT-4, revealing its momentous potential -- to improve diagnoses, summarize patient visits, streamline processes, accelerate research, and much more. There has never been technology like this. Whether you're a physician, patient, healthcare leader, payer, policymaker, or investor, artificial intelligence will profoundly impact you -- and it might make the difference between life or death.
5. Artificial Intelligence: A Modern Approach by Stuart Russell, Peter Norvig
This is the foundational guide to the theory and practice of modern AI, written by renowned AI experts, Stuart Russell, Professor of Computer Science at UC Berkeley and Peter Norvig, Director of Research at Google. It introduces major concepts using intuitive explanations and nontechnical language, before going into mathematical or algorithmic details. In-depth coverage of both basic and advanced topics provides readers with a solid understanding of the frontiers of AI without compromising complexity and depth.