"AI Engineering: Building Applications with Foundation Models" explores the practical aspects of developing AI applications using powerful foundation models. It bridges the gap between theoretical understanding and real-world implementation, offering guidance on how to effectively leverage these models for various tasks. The book delves into the engineering challenges and best practices involved in building, deploying, and managing AI systems powered by foundation models, covering topics like prompt engineering, fine-tuning, and model optimization. The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach.
Recommended for: Programmers, AI Developers, Technical leaders, Intermediate readers
Ref: Genesis: Artificial Intelligence, Hope, and the Human Spirit book
In "Genesis: Artificial Intelligence, Hope, and the Human Spirit", Henry Kissinger, Eric Schmidt, and Craig Mundie examine the transformative potential of artificial intelligence and its implications for the future of humanity. They explore the profound ways AI is reshaping society, from the economy and geopolitics to our understanding of consciousness and free will. The authors delve into the complex ethical, philosophical, and societal questions raised by increasingly sophisticated AI, emphasizing the need for thoughtful consideration and proactive strategies to ensure that these powerful technologies are used responsibly and for the benefit of humankind. Genesis offers a timely and important contribution to the ongoing conversation about the future of AI and its impact on our lives.
Recommended for: AI enthusiasts, Business leaders, All readers across all knowledge levels
Formats: Kindle, Paperback, Audiobook, Hardcover, Audio CD
Ref: The Ultimate Guide To Mastering AI For Leaders
Are you a leader feeling the pressure of the AI revolution but unsure where to begin?
You're not alone. Many executives experience a mix of FOMO and uncertainty about artificial intelligence—knowing it's essential but overwhelmed by the complexity and jargon. This guide is your ultimate roadmap to breaking through those barriers and confidently leveraging AI to fuel your success.
This friendly and comprehensive AI leadership guide will break down the complexities of AI into bite-sized pieces for you. From ChatGPT to Gen AI, you'll discover how to enhance your leadership skills, develop an AI business strategy, motivate your teams, and make data-driven decisions. All that while never losing sight of the ethical considerations that every leader must navigate in this new era.
This powerful guide is packed with real-world success stories, actionable insights, and proven strategies.
Recommended for: Business leaders, Executives, Small businesses, AI enthusiasts, All readers across all knowledge levels
This LLM book provides practical insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps' best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter Notebooks, focusing on how to build production-grade end-to-end LLM systems.
Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects.
Recommended for: AI engineers, NLP professionals, and LLM engineers, Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended.
"Build a Large Language Model (From Scratch)" provides a practical, hands-on guide to understanding and constructing large language models (LLMs) from the ground up. Author Sebastian Raschka demystifies the complex inner workings of LLMs, taking readers through the essential steps of building their own models. This book is ideal for those who want to move beyond simply using pre-trained LLMs and gain a deep understanding of the underlying architecture, training process, and implementation details.
Recommended for: Programmers and machine learning enthusiasts, Intermediate Python skills and some knowledge of machine learning is recommended.
In "The Coming Wave," Mustafa Suleyman, co-founder of DeepMind, explores the transformative potential and inherent dangers of the next wave of technological advancement. He argues that the convergence of AI, synthetic biology, and other powerful technologies will reshape society in unprecedented ways, presenting both immense opportunities and existential threats. Suleyman examines the challenges of containing these technologies while harnessing their benefits, urging us to confront the ethical and societal dilemmas they pose to ensure a future where technology serves humanity's best interests.
Recommended for: AI enthusiasts, Entrepreneurs, Business leaders, Beginner to Intermediate readers
Formats: Kindle, Audiobook, Hardcover, Paperback, Audio CD
In "Co-Intelligence: Living and Working with AI," Ethan Mollick explores how humans and artificial intelligence can work together effectively. They argue that instead of fearing AI taking over, we should focus on developing "co-intelligence," a synergistic partnership where humans and AI complement each other's strengths. The book offers practical strategies and frameworks for individuals, businesses, and society to navigate the changing landscape of work and leverage the power of AI to enhance human capabilities and solve complex problems.
Recommended for: AI enthusiasts, Educators, Business leaders, All readers across all knowledge levels.
