AI for Beginners
Master AI fundamentals faster than you ever thought possible, even if you are new to tech!Are you eager to unlock the potential of AI but overwhelmed by the sheer volume of information out there? Do you want to harness AI to boost your career, but feel daunted by technical jargon?AI for Beginners is the key to demystifying AI and unlocking your potential to use AI wisely and resourcefully.Here's a glimpse of what you'll find inside: The essentials to kick-start your AI journey without an advanced tech background.Discover AI tools that are suited for beginners and why they work.A guide blending theory and practice for a balanced understanding.How AI can transform everyday challenges into solutions with practical implementations.An exploration of how AI is transforming sectors from healthcare to education.How to stay updated on the latest AI trends with minimal time investment.Discover how artificial intelligence could shape industries, societies, and the global economy in the years to come.With this book, you won't just learn AI; you'll understand how to apply it in real-world contexts and make it a powerful element of your personal and professional development.
ChatGPT for Beginners Made Easy
Unlock Your Potential with ChatGPT - No Tech Expertise Required!Whether you're brand new to ChatGPT or already experimenting with AI and ready to level up, ChatGPT for Beginners Made Easy gives you the tools, prompts, and workflows to turn curiosity into confidence-and turn AI into a powerful asset in your daily life.This practical, beginner-friendly guide is designed for real-world results: save time, get more done, and build a skill you can actually monetize.What You'll Learn: Get started fast: Learn to use ChatGPT in under 30 minutesWrite better prompts: Craft powerful, reusable prompts that work across AI platformsPlan goals, projects, and your day: Build personal productivity workflows with ChatGPTLearn and solve problems: Research, study, and work through real-world challengesWrite with AI: Plan, draft, and revise content more efficientlyAutomate your workflows: Build your own custom GPTs for recurring tasksBoost productivity: Save time on everything from email to brainstormingMake money with AI: Explore over 10 beginner-friendly monetization strategiesStart strong: Includes 200+ free prompts to get you going immediatelyThis book strips away the complexity and shows you how to actually use AI-clearly, quickly, and with confidence.By the end, you'll have: A streamlined system to get more done in less timeA practical skill set you can monetize in multiple waysThe ability to adapt to future AI tools with easeReady to simplify AI and unlock what it can do for you?
Dataproc Cookbook
Get up to speed with Dataproc, the fully managed and highly scalable service for running open source big data tools and frameworks, including Hadoop, Spark, Flink, and Presto. This cookbook shows data engineers, data scientists, data analysts, and cloud architects how to use Dataproc, integrated with Google Cloud, for data lake modernization, ETL, and secure data science at a fraction of the cost. Narasimha Sadineni from Google and former Googler Anu Venkataraman show you how to set up and run Hadoop and Spark jobs on Dataproc. You'll learn how to create Dataproc clusters and run data engineering and data science workloads in long-running, ephemeral, and serverless ways. In the process, you'll gain an understanding of Dataproc, orchestration, logging and monitoring, Spark History Server, and migration patterns. This cookbook includes hands-on examples for configuring, logging, securing clusters, and migrating from on-prem to Dataproc. You'll learn how to: Create Dataproc clusters on Compute Engine and Kubernetes Engine Run data science workloads on Dataproc Execute Spark jobs on Dataproc Serverless Optimize Dataproc clusters to be cost effective and performant Monitor Spark jobs in various ways Orchestrate various workloads and activities Use different methods for migrating data and workloads from existing Hadoop clusters to Dataproc
Ultimate Beginner’s Guide to AI
Future-proof your career with AI-no tech skills required.Feeling overwhelmed by the complexity of artificial intelligence? Worried about how it might impact your job?Afraid you're already falling behind the competition? This practical, empowering guide is designed for professionals like you: ambitious, curious, and eager to stay ahead, even if you're not a "tech person." In Ultimate Beginner's Guide to AI, you'll find a clear, jargon-free path to understanding and applying artificial intelligence in your career and daily life. Whether you're in marketing, healthcare, education, business, or any other field, this book will show you how to confidently embrace the tools and ideas shaping tomorrow.Inside, you'll discover: The essential building blocks of AI, machine learning, and natural language processing.More than 200 sample prompts to explore the range and power of AI.Practical exercises that let you apply AI knowledge immediately, enhancing your learning experience.How to integrate AI into your workflow for increased productivity without needing a tech background.The best AI tools you can start using today to improve both personal and professional efficiency.Strategies for leveraging AI to drive career growth and secure your future in a tech-driven world.How to start learning AI with no technical background and still achieve success.The ethical considerations of AI and how they impact both the workplace and society at large.Time-efficient learning modules designed for busy adults, so you can learn at your own pace.Exclusive downloadable resources that provide additional support and deepen your understanding.How to connect with a community of AI learners, creating a supportive network around your new skills. ...and much more!You don't need to be a data scientist or software engineer. You just need a willingness to learn-and a few minutes a day. Whether you want to boost your productivity, explore new career paths, or simply understand the tech shaping your future, this guide is your practical starting point.
Cutting-Edge Artificial Intelligence Advances and Implications in Real-World Applications
Artificial Intelligence (AI) is impacting industries worldwide by introducing new methods and altering traditional practices. This book examines AI's diverse effects, providing insights into its applications, challenges, and future prospects across education, healthcare, finance, and more.The chapters explore how AI technologies, such as large language models, enhance feedback in higher education and influence legal studies while upholding academic integrity. A review of key technical approaches--knowledge-based systems, machine learning, and intelligent optimization--lays the groundwork for understanding AI's potential. Real-world examples illustrate AI's role in medical imaging, presenting new diagnostic methods and the use of language models for image interpretation. The book also discusses financial applications, including techniques for credit card fraud detection and forecasting natural gas prices using innovative models. Additionally, it covers personalized federated learning models, highlighting the importance of data privacy and security in AI's evolution.This comprehensive guide is valuable for educators, researchers, practitioners, and students interested in AI's current and future developments. By combining theory with practical examples, the book offers readers a clear understanding of how AI affects various sectors, enabling them to engage effectively with this rapidly evolving field.
Cutting-Edge Artificial Intelligence Advances and Implications in Real-World Applications
Artificial Intelligence (AI) is impacting industries worldwide by introducing new methods and altering traditional practices. This book examines AI's diverse effects, providing insights into its applications, challenges, and future prospects across education, healthcare, finance, and more.The chapters explore how AI technologies, such as large language models, enhance feedback in higher education and influence legal studies while upholding academic integrity. A review of key technical approaches--knowledge-based systems, machine learning, and intelligent optimization--lays the groundwork for understanding AI's potential. Real-world examples illustrate AI's role in medical imaging, presenting new diagnostic methods and the use of language models for image interpretation. The book also discusses financial applications, including techniques for credit card fraud detection and forecasting natural gas prices using innovative models. Additionally, it covers personalized federated learning models, highlighting the importance of data privacy and security in AI's evolution.This comprehensive guide is valuable for educators, researchers, practitioners, and students interested in AI's current and future developments. By combining theory with practical examples, the book offers readers a clear understanding of how AI affects various sectors, enabling them to engage effectively with this rapidly evolving field.
Time Molecules
Time is not just a measure-it's the key to unlocking the hidden patterns that drive every system, from business intelligence to AI-powered decision-making.In Time Molecules, Eugene Asahara introduces a business intelligence-inspired extension to process mining and systems thinking, blending Markov models, event logs, and AI-driven analytics to further enhance the cooperation of our human intelligence with enterprise intelligence. This book challenges traditional BI methods by shifting the focus from static snapshots of data to the fluid, interconnected nature of processes, empowering decision-makers to anticipate change, optimize workflows, and drive efficiency at scale.Built on decades of experience in OLAP cubes, dimensional modeling, and data-driven strategy, Time Molecules provides BI professionals, data engineers, and executives with the tools to model and analyze event-driven processes using a scalable, probabilistic framework. By treating time as the central dimension and events as molecular building blocks, Asahara demonstrates how Markov models can be applied at scale, offering a powerful method to transform raw data into actionable business intelligence.Readers will explore how businesses, like living organisms, thrive through interconnected systems of processes, evolving dynamically in response to market forces, competition, and operational inefficiencies. Through process mining, digital twins, and AI-powered insights, Time Molecules reveals how organizations can uncover inefficiencies, optimize decision-making, and build resilience in an ever-changing world.The book covers a wide range of topics essential for modern data professionals, including the integration of Markov models with traditional BI, leveraging the astonishing versatility of AI and large language models (LLMs), and applying systems thinking to complex business operations. From case studies in logistics, sales, and customer behavior to real-world implementations using SQL-based TimeSolution architecture, Time Molecules bridges theory and practice in an accessible and insightful manner.With an emphasis on real-time analytics and predictive modeling, this book highlights how businesses can move beyond simple metrics like sums and counts to more sophisticated probabilistic forecasting. It explores how slicing and dicing event sequences across multiple dimensions provides a deeper understanding of customer journeys, operational bottlenecks, and hidden correlations in large-scale data environments.Time Molecules also delves into the impact of AI on business intelligence, illustrating how machine learning models can enhance process mining and decision automation. It discusses the limitations of large language models (LLMs) in business operations and presents Markov models as a transparent and efficient alternative for time-based data analysis.Designed for data professionals seeking to elevate their BI capabilities, this book serves as both a practical guide and a conceptual roadmap for mastering the art of process-driven intelligence. Whether you are a BI engineer, a CDO, or an executive navigating digital transformation, Time Molecules offers a structured approach to understanding the complexities of modern business processes.With AI and automation redefining industries at an astounding and accelerating rate, Time Molecules is a must-read for anyone looking to future-proof their business intelligence strategy.
Introduction to Database Systems Modeling and Administration
Master the art of Data Modeling and SQL Administration with this comprehensive guide!In today's data-driven world, the ability to design and manage efficient database systems is essential for IT professionals. Introduction to Database Systems Modeling and Administration offers a structured approach to understanding database fundamentals, SQL programming, and data modeling best practices. This book bridges the gap between theory and practical application by covering fundamental topics such as data modeling, normalization, and entity-relationship diagrams, all while introducing real-world database management principles. It includes step-by-step instructions on how to use MySQL, MariaDB, SQLite, and Microsoft SQL Server, making it an invaluable resource for working with different database platforms.Designed to align with the Ohio Department of Education's Transfer Acceptance Guide (TAG) for database management courses, this book ensures that readers develop industry-standard competencies. By following DAMA-DMBOK(R) guidelines, it presents modeling techniques that enhance clarity and efficiency when structuring databases for enterprise applications.Through hands-on exercises and case studies, readers will learn how to design relational databases, optimize queries, and implement best practices in database security and administration. From conceptual and logical modeling to advanced SQL queries and stored procedures, every topic is explained with clear examples and practical scenarios.You'll master the key principles of data integrity, indexing strategies, and database transactions, ensuring you can create robust and scalable systems. With detailed explanations of data structures, attributes, and relationships, you'll gain the skills needed to translate business requirements into well-structured databases. This knowledge is essential for anyone working with enterprise data, business intelligence, or software development.By the end of this book, you will be equipped with the knowledge and confidence to model, design, and administer databases effectively, ensuring you can optimize performance, maintain data consistency, and support business operations with well-structured database solutions.If you're ready to take your database skills to the next level and gain a deep understanding of relational data modeling and SQL, Introduction to Database Systems Modeling and Administration is the guide you need to unlock your full potential!
Data Analysis with Llms
Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, AI21, Hugging Face, and more! Using ChatGPT and other AI-powered tools, you can analyze almost any kind of data with just a few short lines of plain English. In Data Analysis with LLMs, you'll learn important techniques for streamlining your data science practice, expanding your skillset and saving you hours--or even days--of time. Inside, you'll learn how to use AI assistants to: - Analyze text, tables, images, and audio files - Extract information from multi-modal data lakes - Classify, cluster, transform, and query multimodal data - Build natural language query interfaces over structured data sources - Use LangChain to build complex data analysis pipelines - Prompt engineering and model configuration This practical book takes you from your first prompts through advanced techniques like building automated analysis pipelines and fine-tuning existing models. You'll learn how to create meaningful reports, generate informative graphs, and much more. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book Data Analysis with LLMs teaches you to use a new generation of AI assistants and Large Language Models (LLMs) to simplify and accelerate common data science tasks. Cornell professor and long-time LLM advocate Immanuel Trummer reveals techniques he's pioneered for getting the most out of LLMs in data science, including model selection and specialization, techniques for tuning parameters, and reliable prompt templates. You'll start with an in-depth exploration of how LLMs work. Then, you'll dive into no-code data analysis with LLMs, creating custom operators with the OpenAI Python API, and building complex data analysis pipelines with the cutting edge LangChain framework. About the reader For data scientists, data analysts, and others who are interested in making their work easier through the use of artificial intelligence techniques. Readers should have a basic understanding of the Python programming language. About the author Immanuel Trummer is an assistant professor for computer science at Cornell University and leader of the Cornell Database Group. His papers have been selected for "Best of VLDB", "Best of SIGMOD", for the ACM SIGMOD Research Highlight Award, and for publication in CACM as CACM Research Highlight. Immanuel's online course on data management has reached over a million views on YouTube. Over the past few years, his group has published extensively on projects that apply large language models in the context of data science.
Quantum-Dot Cellular Automata Circuits for Nanocomputing Applications
Mathematical Entity Linking Methods and Applications
This research book explores the adaptation of traditional Entity Linking techniques to Mathematical Entity Linking (MathEL) for STEM disciplines, addressing the limitations of current Information Retrieval methods in handling mathematical expressions. By developing and evaluating novel MathEL approaches using AI, Machine Learning, and the Wikidata Knowledge Graph, significant progress is achieved in areas such as Formula Concept recognition, semantic formula search, mathematical question answering, physics exam question generation, and STEM document classification. The study also introduces a suite of open-source Wikimedia MathEL tools, including AnnoMathTeX, MathQA, and PhysWikiQuiz, designed to advance Mathematical Information Retrieval and support innovative applications in academic and educational contexts.
Ultimate Apache Superset for Data Visualization and Analytics
Apache Superset to Master Data Visualization and Build High-Impact BI Solutions Book DescriptionApache Superset is a powerful open-source data visualization and business intelligence platform that enables professionals to create interactive dashboards effortlessly. With its user-friendly interface and broad compatibility with various data sources, Superset helps users uncover insights and make informed, data-driven decisions in real time. Ultimate Apache Superset for Data Visualization and Analytics offers a structured, hands-on approach to mastering Apache Superset. It begins with installation and configuration, guiding you through building your first visualization and dashboard. As you progress, you'll explore advanced features such as SQL Lab, custom visualizations, and security management. The book also covers optimizing dashboards, integrating Superset with data pipelines, and deploying it in production environments. Each chapter includes practical examples, best practices, and real-world use cases to reinforce learning. By the end, you'll have the expertise to build high-impact, interactive dashboards and confidently deploy Apache Superset in production. Whether you're a data analyst, engineer, or business professional, this book equips you with the skills to scale and customize Superset for your organization's needs. Don't get left behind-unlock the full potential of Apache Superset and take your data visualization to the next level! Table of Contents1. Introduction to Apache Superset2. Installing and Configuring Apache Superset3. Getting Started with Data Visualization4. Data Exploration and SQL Lab5. Custom Visualizations and Plugins6. Security and Access Control7. Building and Optimizing Dashboards8. Integrating Superset into Data Pipelines9. Exploratory Data Analysis and Hypothesis Testing10. Scaling and Deploying Superset in Production11. Superset for Business Reporting12. Self-Service BI with Superset13. Emerging Trends and Innovations in Data Visualization Index
Artificial Intelligence for Business
Understand and harness the power of artificial intelligence to drive growth and innovation with this comprehensive guide. As AI continues to evolve, it is increasingly important for businesses to make informed decisions about how to use AI to drive success and growth. This book aims to provide a comprehensive understanding of AI and its applications in business, making it the ideal resource for business managers and leaders looking to stay ahead of the curve. With a focus on practical applications and real-world examples, it helps readers understand what AI is, how it is transforming business, how it can be used to drive growth and innovation and how to navigate the realities of implementation. This book looks at the combination of AI with other emerging technologies such as blockchain, internet of things and virtual and augmented reality, showing how these can work together to create new business opportunities and solve complex business problems. It provides guidance on the importance of designing AI applications that are human-centred, including inclusive design and empathy in AI. It features contributions and insights from leading experts and a wealth of real-world examples profiling AI adoption and innovation.
Artificial Intelligence for Business
Understand and harness the power of artificial intelligence to drive growth and innovation with this comprehensive guide. As AI continues to evolve, it is increasingly important for businesses to make informed decisions about how to use AI to drive success and growth. This book aims to provide a comprehensive understanding of AI and its applications in business, making it the ideal resource for business managers and leaders looking to stay ahead of the curve. With a focus on practical applications and real-world examples, it helps readers understand what AI is, how it is transforming business, how it can be used to drive growth and innovation and how to navigate the realities of implementation. This book looks at the combination of AI with other emerging technologies such as blockchain, internet of things and virtual and augmented reality, showing how these can work together to create new business opportunities and solve complex business problems. It provides guidance on the importance of designing AI applications that are human-centred, including inclusive design and empathy in AI. It features contributions and insights from leading experts and a wealth of real-world examples profiling AI adoption and innovation.
Implementing Analytics Solutions Using Microsoft Fabric-DP-600 Exam Study Guide
Causal AI
How do you know what might have happened, had you done things differently? Causal machine learning gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions. In Causal AI you will learn how to: Build causal reinforcement learning algorithms Implement causal inference with modern probabilistic machine tools such as PyTorch and Pyro Compare and contrast statistical and econometric methods for causal inference Set up algorithms for attribution, credit assignment, and explanation Convert domain expertise into explainable causal models Causal AI is a practical introduction to building AI models that can reason about causality. Author Robert Ness, a leading researcher in causal AI at Microsoft Research, brings his unique expertise to this cutting-edge guide. His clear, code-first approach explains essential details of causal machine learning that are hidden in academic papers. Everything you learn can be easily and effectively applied to industry challenges, from building explainable causal models to predicting counterfactual outcomes. About the technology: Causal machine learning is a major milestone in machine learning, allowing AI models to make accurate predictions based on causes rather than just correlations. Causal techniques help you make models that are more robust, explainable, and fair, and have a wide range of applications, from improving recommendation engines to perfecting self-driving cars.
Effective Conversational AI
Create and improve conversational AI with the latest patterns, best practices, and tools, including generative AI models. Conversational AI (CAI) tools are built to solve problems, but all-too-often they just end up causing pain for users-and developers! Effective Conversational AI reveals best practices and industry-tested techniques for creating chatbots and conversational AI tools that are reliable at an enterprise scale. With the tested ideas and examples in this book, you'll learn to build chatbots that your customers and colleagues will actually want to use! In Effective Conversational AI you'll learn how to: - Create high-quality chatbots and other conversational AI experiences - Plan for continuous improvement - Incorporate generative AI solutions to improve quality, accuracy, and usability - Evaluate user experience and business results Effective Conversational AI introduces continuous improvement practices that are vital for the constant betterment and evolution of chatbots and CAI tools. It introduces the three most-common forms of chatbot--Q&A, process-oriented, and routing agents--and presents a reliable framework for continuously improving each one. Using modern generative AI and tried-and-tested classic approaches, you'll learn to deliver high performance chatbots that can guide a customer through complex end-to-end tasks--no human required! Foreword by Jes繳s Mantas. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Powerful new chatbot frameworks and Generative AI models can practically eliminate problems like misinterpreting user intent and delivering nonsensical answers. In this book, you'll learn how to build chatbots that take advantage of large language models and other modern tools and create conversational AI experiences users will love. About the book Effective Conversational AI teaches you how to build great chatbots that perform reliably even at enterprise scale. In it, you'll learn how to clarify user intent using LLMs, respond accurately to unanticipated input, and use Retrieval Augmented Generation to keep responses up to date. Along the way, you'll discover how to establish a feedback loop for continuous quality improvement and master techniques to integrate GenAI safely into conventional chatbot designs. What's inside - Blend Generative AI and conventional chatbot tools - Use LLMs to improve quality, accuracy, and usability - Plan for continuous improvement - Domain-specific responses using RAG About the reader For developers, engineers, and product managers working with conversational AI. About the author Andrew Freed, Cari Jacobs, and Eniko R籀zsa are seasoned conversational AI developers with IBM. Table of Contents Part 1 1 What makes conversational AI work? 2 Building a conversational AI 3 Planning for improvement Part 2 4 Understanding what your users really want 5 Improving weak understanding for traditional AI 6 Enhancing responses with retrieval-augmented generation 7 Augmenting intent data with generative AI Part 3 8 Streamlining complex flows 9 Harnessing context for an adaptive virtual assistant experience 10 Reducing complexity with generative AI Part 4 11 Reducing opt-outs 12 Conversational summarization for smooth handoff
Wordpress Power Toolkit
Create stunning and effective WordPress websites with easy-to-use AI tools--no code required! Whether starting from scratch or improving an existing site, AI-Powered WordPress gives you the skills to create professional sites powered by the limitless potential of artificial intelligence. You'll learn to use AI for your content and visuals, and even help you build your own WordPress plugins and widgets. Inside AI-Powered WordPress you'll discover hands-on ways to: - Utilize AI to build new WordPress sites or improve existing ones - Understand how AI enhances all aspects of site content and design - Become an expert prompt engineer for communicating with AI - Generate HTML, CSS, plugins, and widgets with AI - Optimize multimedia, blogging, monetization, SEO, and more WordPress is the most popular tool for building websites today--and with the power of generative AI tools like ChatGPT, working with WordPress just got much easier! Now it's a breeze to enhance your site with amazing visuals, impressive and on-target content, and get your new AI assistant to generate CSS code to fine tune your site's design. Plus, this all-practical guide is full of important information about the tasks AI still can't do for you, from picking the right hosting service, to defining your site's goals. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book AI-Powered WordPress enables anyone to harness artificial intelligence to create impressive and professional-looking WordPress websites. Build new sites from the ground up as you master skills like prompt engineering to control AI tools, and see AI in action improving existing sites with striking visuals, content, and features. You'll work with a portfolio of fun websites, including a bass-fishing site and an Instant Pot recipes site. Plus, hundreds of tips and time-tested advice help you solve almost any WordPress problem. Read it cover to cover, or keep it on your desk as a vital troubleshooting reference! About the reader For WordPress users looking to utilize AI, from beginners to experienced site builders. About the author Richard Mansfield is the bestselling author and co-author of more than 45 books. For the past five years, he has taught three online certification courses on WordPress. Since November 2022, he has immersed himself in the several main AI systems, discovering multiple ways to leverage AI with WordPress.
The Digital Doctor
The Digital Doctor: How Digital Health Can Transform Healthcare discusses digital health and demonstrates the appropriateness of each technology using an evidence-based approach. It serves as a comprehensive summary on current, evidence-based digital health applications, future novel digital health technologies (e.g., mobile health, blockchain, web3.0), as well as some of the current challenges and future directions for digital health within the various medical subspecialties. This book is a comprehensive review of digital health for clinicians, researchers, bioinformatic students, biomedical engineers interested in this topic.
Intelligent Computing and Big Data Analytics
This book constitutes the refereed proceedings of the First International Conference on Intelligent Computing and Big Data Analytics, ICICBDA 2024, held in Navi Mumbai, India, during June 15-16, 2024. The 48 full papers presented were carefully reviewed and selected from 275 submissions. The accepted submissions report original and novel results in various fields like Intelligent Security systems, Big Data Analytics, AI and ML applications, intelligent systems, Deep Learning, Blockchain, and many more.
Intelligent Computing and Big Data Analytics
This book constitutes the refereed proceedings of the First International Conference on Intelligent Computing and Big Data Analytics, ICICBDA 2024, held in Navi Mumbai, India, during June 15-16, 2024. The 48 full papers presented were carefully reviewed and selected from 275 submissions. The accepted submissions report original and novel results in various fields like Intelligent Security systems, Big Data Analytics, AI and ML applications, intelligent systems, Deep Learning, Blockchain, and many more.
Future Human
Future Human is a visionary exploration of the intersection between humanity and the rapidly evolving field of artificial intelligence. Authored by Tony Tan, a distinguished figure in the artificial intelligence (AI) and technology industry, the book promises to unravel the complexities of AI, its integration into daily life, and its profound implications for the future of human civilisation.It addresses the critical role of human consciousness in an AI-driven world, the ethical frameworks necessary to guide AI development, and the regulatory challenges that accompany AI's integration into society. Through engaging storytelling and insightful analysis, Future Human aims to demystify AI, making it accessible to a broad audience while highlighting the importance of ethical considerations and human oversight.Tony's perspective - enriched by his extensive experience and achievements in the AI field - provides a unique lens through which readers can explore the potential of AI to enhance human capabilities, transform industries, and redefine societal norms. More than just a book, it is a call to action for thoughtful engagement with AI; encouraging readers to participate in shaping a future where technology amplifies human potential without compromising ethics or human dignity.
The Prompt Engineer's Handbook
In the rapidly evolving world of artificial intelligence, the ability to communicate effectively with AI models has become a crucial skill. As these models grow more sophisticated, the importance of crafting precise and effective prompts cannot be overstated. This book, "The Prompt Engineer's Handbook," authored by Alex Stirling, is your comprehensive guide to unlocking the full potential of AI through the art of prompt crafting.Alex Stirling, a seasoned AI researcher and practitioner, brings a wealth of knowledge and experience to this book. With a background in computer science and years of hands-on experience working with advanced AI models, Stirling has witnessed firsthand the transformative power of well-crafted prompts. This book is the culmination of that expertise, offering readers a step-by-step approach to mastering prompt engineering.The journey begins with an exploration of the fundamental principles of prompt engineering. You will learn what prompts are, why they matter, and how they influence the behavior and output of AI models. Stirling breaks down complex concepts into easily digestible insights, ensuring that readers of all backgrounds can grasp the essentials.As you delve deeper, you will discover the key elements that make a prompt effective. Clarity, specificity, context, and conciseness are the cornerstones of good prompt crafting, and this book provides detailed guidance on how to incorporate these elements into your prompts. Through practical examples and real-world scenarios, Stirling demonstrates how to create prompts that yield accurate, relevant, and high-quality responses from AI models.One of the unique features of this book is its focus on applied prompt engineering. Stirling goes beyond theory, offering concrete examples from various domains such as content creation, customer support, educational assistance, data analysis, and creative writing. These examples illustrate how to tailor prompts to specific contexts, ensuring that you can apply the principles of prompt engineering to your own projects and tasks.In addition to practical techniques, "The Prompt Engineer's Handbook" also addresses common pitfalls and challenges. Stirling provides strategies for avoiding vagueness, overloading, and bias in your prompts, helping you to refine and improve your approach continuously.Whether you are a seasoned AI professional or a newcomer to the field, this book is designed to equip you with the skills and knowledge needed to excel in prompt engineering. By the end of this journey, you will have a deep understanding of how to craft prompts that harness the full power of AI, enabling you to achieve your goals with precision and efficiency.Welcome to the world of prompt engineering. Let's embark on this exciting journey together.
