£74.99
£74.99
This book presents systematic prompt engineering for AI-based programming. Its thesis is that prompts are programs that need to be designed and tested. It presents novel design recipes for writing prompts that apply to any programming language or coding assistant.
This book presents systematic prompt engineering to foster effective use of coding assistants and AI-based programming. The target audience is anyone that has some programming experience and can read, analyze, and critique code. The thesis behind the book is that prompts are programs. As such, they need to be designed and tested. To this end, the textbook presents novel design recipes for using a coding assistant and for writing prompts. A design recipe is a series of steps, each with a concrete outcome, that provide scaffolding for programming with coding assistants and for writing prompts. The presented design recipes may be applied to programming tasks using any programming language and any coding assistant. Designing prompts solidly place prompt engineering in the realm of science much like designing programs do for software engineering. The textbook is implementation-oriented and throughout every chapter the reader is engaged in software development.
This book explores the latest research in education design for virtual and augmented reality. Using numerous studies and examples, it will help the reader gain a better understanding of the nature of these realities and their applications in theory and practice.
This book shows how artificial intelligence (AI) and machine learning (ML) are used to prevent security assaults on blockchain. It explores use cases and security methods, arguing that integrating AI and ML is crucial for increasing blockchain security.
This multidisciplinary book explores COVID-19’s impact across the sciences and humanities. It offers varied perspectives on the pandemic’s challenges and solutions, with a specific focus on Indonesia. For researchers, students, the public, and policy makers.
Satellite images often suffer from interpretability issues and lost details due to sensor limitations. This book exploits deep learning to boost minute details and improve classification, showing how super-resolution improves spatial detail for precise decision-making.
This volume presents research merging classical measurement theory with modern data science. Discover novel methods for superior measurement design, robust data evaluation, and efficient instrumentation implementations.
This book offers an integral view of human speech behavior, uniting biology, linguistics, math, and AI. It explores neural networks and microelectronics for speech recognition, text-to-speech synthesis, and dialogue systems. For a broad professional audience.
This book explores how artificial intelligence (AI) interprets behavioral patterns and their influence on personality. It discusses AI’s uses, from controlling diseases to modern personality analysis, and its challenges. Perfect for data scientists, academics, and students.
Using real-world cases, this book illustrates how to handle volatile financial time series data. Learn to apply statistical, machine learning, and deep learning techniques with R and Python to build robust predictive models and construct profitable investment portfolios.
This book explores artificial intelligence through the unique lens of art, showing how we can engage with AI without being subjugated by it. Each chapter begins with a work of art to guide the reader through philosophical keywords like “author,” “memory,” and “human.”
This book is a precise and comprehensive history of the digital computer, tracing its roots and routes through the modern era. Though dealing with the history of technology in general, its central focus is the automatic digital program-controlled calculating devices of 1935-1945.
Processing Your Order
Please wait while we securely process your order.
Do not refresh or leave this page.
You will be redirected shortly to a confirmation page with your order number.
