The Quick Guide to Prompt Engineering

The Quick Guide to Prompt Engineering

Author: Ian Khan

Publisher: John Wiley & Sons

Published: 2024-03-26

Total Pages: 485

ISBN-13: 1394243324

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Design and use generative AI prompts that get helpful and practical results In The Quick Guide to Prompt Engineering, renowned technology futurist, management consultant, and AI thought leader Ian Khan delivers a practical and insightful discussion on taking the first steps in understanding and learning how to use generative AI. In this concise and quick start guide, you will learn how to design and use prompts to get the most out of Large Language Model generative AI applications like ChatGPT, DALL-E, Google’s Bard, and more. In the book, you’ll explore how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases. You’ll also find thoughtful and illuminating case studies and hands-on exercises, as well as step-by-step guides, to get you up to speed on prompt engineering in no time at all. The book has been written for the non-technical user to take the first steps in the world of generative AI. Along with a helpful glossary of common terms, lists of useful additional reading and resources, and other resources, you’ll get: Explanations of the basics of generative artificial intelligence that help you to learn what’s going on under the hood of ChatGPT and other LLMs Stepwise guides to creating effective, efficient, and ethical prompts that help you get the most utility possible from these exciting new tools Strategies for generating text, images, video, voice, music, and other audio from various publicly available artificial intelligence tools Perfect for anyone with an interest in one of the newest and most practical technological advancements recently released to the public, The Quick Guide to Prompt Engineering is a must-read for tech enthusiasts, marketers, content creators, technical professionals, data experts, and anyone else expected to understand and use generative AI at work or at home. No previous experience is required.


The Illustrated AutoCAD Quick Reference Guide R14

The Illustrated AutoCAD Quick Reference Guide R14

Author: Ralph Grabowski

Publisher: Delmar Thomson Learning

Published: 1998

Total Pages: 630

ISBN-13:

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Now put the power and speed of AutoCAD Release 14 at your fingertips with this illustrated quick reference. For easy reference, commands and functions are listed alphabetically, and new R14 commands and features are highlighted. With its clear, concise descriptions and illustrations, this book will become an invaluable part of an AutoCAD user's reference library.


Microlearning

Microlearning

Author: Karl M. Kapp

Publisher: Association for Talent Development

Published: 2019-09-24

Total Pages: 228

ISBN-13: 194903674X

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Your Microlearning Primer Microlearning. Is it a text message or a video? Does it need to be shorter than five minutes? Do you just “chunk” a longer course into smaller pieces? Find the answers to these and other questions in this concise, comprehensive, and first-of-its-kind resource that will accommodate the most- and least-informed about microlearning. Gleaning insights from research, theory, and practice, authors Karl M. Kapp and Robyn A. Defelice debunk the myths around microlearning and present their universal definition. In Microlearning: Short and Sweet, they go beyond the hypothetical and offer tips on putting microlearning into action. Recognizing what makes microlearning effective is critical to avoiding costly, wasteful investments in the latest learning trend or newest shiny object. Only by understanding the nuances behind it can you decide what format and style suits your needs. Whether you are creating an individual product or a series of learning solutions, you need to follow a well-designed plan. This book guides readers through how, when, and why to design, develop, implement, and evaluate microlearning. Case studies punctuate what works and what doesn’t. User-friendly and highly accessible, this book is a must-have for instructional designers and anyone interested in microlearning.


MATLAB Numerical Methods with Chemical Engineering Applications

MATLAB Numerical Methods with Chemical Engineering Applications

Author: Kamal I.M. Al-Malah

Publisher: McGraw Hill Professional

Published: 2013-08-21

Total Pages: 386

ISBN-13: 0071831282

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"A practical, professional guide to MATLAB applications, numerical techniques, and scientific computing MATLAB Numerical Methods with Chemical Engineering Applications shows how to use MATLAB to model and simulate physical problems in the chemical engineering realm. This cookbook-style guide allows quick mastery of this important, powerful computational tool for engineers. Recipe-style presentation with every step needed toward the final solution algorithmically explained via MATLAB snapshots in parallel with the text Concise explanations of essential MATLAB commands, programming features, graphical capabilities, and desktop interface Written for MATLAB 7.11 (R2011a); can also be used with earlier (and later) versions of MATLAB Each chapter is a standalone entity covering a computational skill needed by engineers Includes end-of-chapter problems"--


Researching Learning in Virtual Worlds

Researching Learning in Virtual Worlds

Author: Anna Peachey

Publisher: Springer Science & Business Media

Published: 2010-02-05

Total Pages: 222

ISBN-13: 184996047X

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Most of the chapters in this book are extended papers from Research Learning in Virtual Environments (reLIVE08), an international conference held by the UK Open University in Milton Keynes in November 2008. Authors of the best papers and presentations from the conferences were invited to contribute to Research Learning in Virtual Worlds, the first book to specifically address research methods and related issues for education in virtual worlds. The book covers a range of research undertaken in virtual worlds. It opens with an accessible introduction both to the book and to the subject area, making it an ideal springboard for those who are new to research in this area. The subsequent ten chapters present work covering a range of research methodologies across a broad discipline base, providing essential reading for advanced undergraduate or postgraduate researchers working in education in virtual worlds, and engaging background material for researchers in similar and related disciplines.


Handbook of Temporal Reasoning in Artificial Intelligence

Handbook of Temporal Reasoning in Artificial Intelligence

Author: Michael David Fisher

Publisher: Elsevier

Published: 2005-03-01

Total Pages: 753

ISBN-13: 0080533361

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This collection represents the primary reference work for researchers and students in the area of Temporal Reasoning in Artificial Intelligence. Temporal reasoning has a vital role to play in many areas, particularly Artificial Intelligence. Yet, until now, there has been no single volume collecting together the breadth of work in this area. This collection brings together the leading researchers in a range of relevant areas and provides an coherent description of the breadth of activity concerning temporal reasoning in the filed of Artificial Intelligence.Key Features:- Broad range: foundations; techniques and applications- Leading researchers around the world have written the chapters- Covers many vital applications- Source book for Artificial Intelligence, temporal reasoning- Approaches provide foundation for many future software systems· Broad range: foundations; techniques and applications· Leading researchers around the world have written the chapters· Covers many vital applications· Source book for Artificial Intelligence, temporal reasoning· Approaches provide foundation for many future software systems