Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.

Digital transformation is much more than building a digital infrastructure to gather and process data. It is about understanding how digital technologies enable the creation of innovative services and products. It is about identifying new competitive positions and business models and thinking critically about how to both create and capture value. Strategy in the Digital Age directly engages these concerns and provides a comprehensive roadmap for planning a successful digital strategy and executing a digital transformation in organizations.

Learning Agile is a comprehensive guide to the most popular agile methods, written in a light and engaging style that makes it easy for you to learn. Agile has revolutionized the way teams approach software development, but with dozens of agile methodologies to choose from, the decision to "go agile" can be tricky. This practical book helps you sort it out, first by grounding you in agile's underlying principles, then by describing four specific - and well-used - agile methods: Scrum, extreme programming (XP), Lean, and Kanban.

What is that magic quality that makes some people instantly loved and respected? Everyone wants to be their friend (or, if single, their lover!) In business, they rise swiftly to the top of the corporate ladder. What is their "Midas touch?"

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.