A Short and Practical Textbook of Prompt Engineering


Book Description

Consider a scenario where you wish to engage in a conversation with a computer system that can not only understand your natural language but also respond in a meaningful and informative way. This is precisely the goal of prompt engineering, a technique that enables users to harness the power of large language models (LLMs) to perform a wide range of tasks, from generating creative text formats to answering questions, translating languages, and engaging in meaningful conversations. This practical textbook has examples in every chapter and practical exercises at various place to facilitate learning. There are 15 chapters with references and comprehensible content. Learn prompt engineering and improve your chances of landing a job in the new normal of the AI economy in the evolving AI civilization.




Practical Seal Design


Book Description

This compact, on-the-job handbook provides all the practical and theoreticalinformation to design elastomeric O-ring seals for the full range of static,reciprocating, and rotary functions.Complete with fully illustrated, detailed examples to guide you step-bystepthrough virtually every seal design situation, Practical Seal Designprovides thorough coverage of ring seal geometry, material-compoundcapability, material performance, and design methods ... detailed designconsiderations including stretch, swell, shrinkage, and blowout prevention,as well as innovations to extend seal life span and minimize systemhysteresis ... unmatched treatment of piston-cylinder seal and shaft sealdesign ... and clearly elucidated specifications for military, aerospace, andindustrial standards.With quick-access features to facilitate prompt, proper, and effective design,Practical Seal Design is an essential single-source reference for mechanical,manufacturing, industrial, automotive, aeronautical, and ocean engineers.Furthermore, this one-of-a-kind work is an excellent reference text forprofessional seminars on hydrodynamic, pneumatic, and mechanicalengineering systems, and undergraduate mechanical design courses.




The Art of Prompts 2


Book Description

The Art of Prompts 2 has hundreds of examples and prompt tips to help you create beautiful illustrations, comics, greeting cards, stories, articles and so much more with generative AI! You don't need to be an expert: the book comes with easy-to-use tools to help you save, experiment and share your prompts with Livebook, and instantly publish your creations online with the visual Prompt Maker, Story Maker, Comics Maker, Image Maker and more! This book is a great resource for anyone interested in digital art, creativity, writing and artificial intelligence. Includes hundreds of illustrations and tips on making beautiful digital art with all modern AI models: Google Gemini, OpenAI, Midjourney and more. Enjoy browsing through a gallery of hundreds of illustrations made with prompts, try them yourself and have fun! Make beautiful art and content easily! Includes easy-to-use online tools and 200+ beautiful illustrations and tested prompts you can copy-and-paste to jump start creating artwork instantly, or experiment live with Livebook. Learn to instantly create professional digital art for your projects, books, documentation, research, or business: Illustrations Stories Comics Greeting Cards Articles What’s so special about this book? It explains how to make prompts to generate art and creative content - a very useful skill for any artist or hobbyist making art with powerful artificial intelligence tools. Enjoy browsing through a gallery of hundreds of illustrations made with prompts and have fun! Easy-to-follow and well structured The book is well structured, so you can quickly find your genres or styles of illustrations or artwork and use hints, guidance and copy-paste prompts that I tested while working on this book, or use Livebook (included) to create prompts, notebooks and more. Save time and start with best practices Creating a great artwork with artificial intelligence takes time. The book provides best practices and tested prompts to get started quickly. What is a prompt? A prompt is a loosely defined input, like a phrase or instruction that tells A.I. what to do. The art of creating prompts is just like the art of talking to people: if you’re skilled in this art you’ll get fantastic results! More creative AI resources: What’s new in this book: besides lots of new prompt tips, each prompt in this book is available online on Livebook, a new resource where you can keep and share your prompts, play, experiment, make articles, posts, illustrations, books, websites, and more. Livebook helps you creating content based on just your ideas (no special skills necessary), and provides a content management platform for generative AI, with lots of easy-to-use generative AI tools built-in: the visual Prompt Maker, Comics Maker, Greeting Card Maker, Story makers, and tons of templates as part of the Prompt Mania prompt garden. Ta-Da! Meet the Prompt Maker: one of the new tools included in Livebook simplifies prompt engineering, shortening the path from your ideas to content: the tool will automatically make awesome visual and text prompts for you, saving you typing and time from a single idea. Prompts made by Livebook Prompt Maker fit any transformer, and significantly improve the output quality for Google, OpenAI, Midjourney, and other models. Also in the book: multi-modal prompts - for video, images, text and more! While the first Art of Prompts book focused purely on imaging and art, I decided to include more tips in this book that also cover text and videos. So, in addition to vision and images, in this book you’ll find entirely new comics, text and conversation sections, including Google tools and new models like multi-modal Gemini, that explains the art of getting what you want from machines and artificial intelligence. This book is to make anyone productive with AI, you don’t need to be a data scientist to use methods and tools I share here. I recommend checking books in this series for the background of many methods explained here. Livebook for Business brings a comprehensive generative AI solution for businesses, teams and organizations. For example, at the US Olympic and Paralympic Committee, Livebook powers AI Coaching that teams and coaches as part of long-term Team USA readiness program for LA Olympics 2028! It is the first ever content management system (CMS) designed from the ground up to work with generative AI. Livebook generative AI kiosk had been installed at the Computer History Museum in Silicon Valley, next to the first computers and processors, entertaining visitors with generative stories. Hope you enjoy this book, learn, and have fun!




Coastal Engineering


Book Description

Historically, much harm has been done by well-meaning coastal engineering attempts, which seemed like good ideas on paper but which failed to allow for practical issues. For this reason, it is vital that theories and models are well grounded in practice. This second edition brings the models and examples of practice up to date. It has expanded coverage of tsunamis and generating energy from waves to focus both on the great dangers and the great opportunities that the ocean presents to the coastal zone. With an emphasis on practice and detailed modelling, this is a thorough introduction to all aspects of coastal processes, morphology, and design of coastal defences. It describes numerous case studies to illustrate the successful application of mathematical modelling to real-world practice. A must-have book for engineering students looking to specialize in coastal engineering and management.




Practical Natural Language Processing


Book Description

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective




The Little Book of Lean


Book Description

Author Chris Cooper compiles the lessons he learned over a twenty year journey in Lean. From military to charity and from for-profit or non-profit, Chris discovered that the basics of Lean principles apply in every workplace while transforming those involved by what can be achieved. The aims of this book are simple. Chris distills his knowledge to its simple basic essence so that current and future generations of leaders can learn and apply it. Through stories and discussion questions, Chris sets the reader on a path of action that shows a way of looking at the world of human work. And, once the reader can "see" through the Lean lens, it is truly a beautiful sight because of the infinite potential. The Little Book of Lean should be an inspiration for readers to begin to forever improve!




Process Engineering for a Small Planet


Book Description

Methods for more planet-friendly process engineering Our earth is just one big, complex Process Facility with limited air, water, and mineral resources. It responds to a number of process variables—among them, humanity and the environmental effects of our carbon consumption. What can professionals in the Hydrocarbon Process Industry do to retard environmental degradation? Rather than looking to exotic technology for solutions, Process Engineering for a Small Planet details ready-at-hand methods that the process engineer can employ to help combat the environmental crisis. Drawing from the author's professional experience working with petroleum refineries petroleum refineries, petrochemical plants, and natural gas wells, this handbook explains how to operate and retrofit process facilities to: Reuse existing process equipment Save energy Reduce greenhouse gas emissions Expand plant capacity without installing new equipment Reduce corrosion and equipment failures Covering topics from expanding fractionator and compressor capacity and vacuum tower heater expansion to minimizing process water consumption and increasing centrifugal pump capacity, Process Engineering for a Small Planet offers big ideas for saving our small planet.







501 Writing Prompts


Book Description

"This eBook features 501 sample writing prompts that are designed to help you improve your writing and gain the necessary writing skills needed to ace essay exams. Build your essay-writing confidence fast with 501 Writing Prompts!" --




Practical Probabilistic Programming


Book Description

Summary Practical Probabilistic Programming introduces the working programmer to probabilistic programming. In it, you'll learn how to use the PP paradigm to model application domains and then express those probabilistic models in code. Although PP can seem abstract, in this book you'll immediately work on practical examples, like using the Figaro language to build a spam filter and applying Bayesian and Markov networks, to diagnose computer system data problems and recover digital images. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The data you accumulate about your customers, products, and website users can help you not only to interpret your past, it can also help you predict your future! Probabilistic programming uses code to draw probabilistic inferences from data. By applying specialized algorithms, your programs assign degrees of probability to conclusions. This means you can forecast future events like sales trends, computer system failures, experimental outcomes, and many other critical concerns. About the Book Practical Probabilistic Programming introduces the working programmer to probabilistic programming. In this book, you’ll immediately work on practical examples like building a spam filter, diagnosing computer system data problems, and recovering digital images. You’ll discover probabilistic inference, where algorithms help make extended predictions about issues like social media usage. Along the way, you’ll learn to use functional-style programming for text analysis, object-oriented models to predict social phenomena like the spread of tweets, and open universe models to gauge real-life social media usage. The book also has chapters on how probabilistic models can help in decision making and modeling of dynamic systems. What's Inside Introduction to probabilistic modeling Writing probabilistic programs in Figaro Building Bayesian networks Predicting product lifecycles Decision-making algorithms About the Reader This book assumes no prior exposure to probabilistic programming. Knowledge of Scala is helpful. About the Author Avi Pfeffer is the principal developer of the Figaro language for probabilistic programming. Table of Contents PART 1 INTRODUCING PROBABILISTIC PROGRAMMING AND FIGARO Probabilistic programming in a nutshell A quick Figaro tutorial Creating a probabilistic programming application PART 2 WRITING PROBABILISTIC PROGRAMS Probabilistic models and probabilistic programs Modeling dependencies with Bayesian and Markov networks Using Scala and Figaro collections to build up models Object-oriented probabilistic modeling Modeling dynamic systems PART 3 INFERENCE The three rules of probabilistic inference Factored inference algorithms Sampling algorithms Solving other inference tasks Dynamic reasoning and parameter learning