
Artificial Intelligence All-in-One For Dummies
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A comprehensive roadmap to using AI in your career and in your life
Artificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do.
Artificial Intelligence All-in-One For Dummies compiles insight from the expert authors of AI books in the For Dummies series to provide an easy-to-follow walkthrough for anyone interested in learning how to use AI. You'll learn how to put artificial intelligence to work for you and your company in a wide variety of situations, from creating office assistants to managing projects and marketing your products.
Inside the book:
- How to prompt AI platforms like ChatGPT and Copilot while avoiding "hallucinations" and other bugs
- Strategies for adding artificial intelligence tools to your company's existing workflows to improve efficiency and generate new opportunities
- Techniques to improve your programming capabilities with AI or create new AI-powered tools
Perfect for professionals curious about the potential and pitfalls associated with generative artificial intelligence, Artificial Intelligence All-in-One For Dummies shows you exactly how AI works and how you can apply it in your own professional and personal life.
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Persons
This collection gathers the work of top authors of AI topics in the For Dummies series including Chris Minnick, author of Coding with AI For Dummies; John Paul Mueller, Luca Massaron and Stephanie Diamond, co-authors of Artificial Intelligence For Dummies, 3rd Edition; Pam Baker, author of ChatGPT For Dummies; Shiv Singh, author of Marketing with AI For Dummies; Daniel Stanton, author of Project Management with AI For Dummies; Paul Mladjenovic, author of AI Investing For Dummies; Sheryl Lindsell-Roberts, author of Business Writing with AI For Dummies; and Jeffrey Allan, co-author of Writing AI Prompts For Dummies.
Content
Introduction 1
Book 1: Understanding AI Foundations 7
Chapter 1: Delving into What AI Means 9
Chapter 2: Defining Data's Role in AI 25
Chapter 3: Considering the Use of Algorithms 47
Chapter 4: Pioneering Specialized Hardware 65
Chapter 5: Parsing Machine Learning and Deep Learning 81
Chapter 6: Upholding Responsible AI Standards in GenAI Use 101
Chapter 7: Finding Job Security in an AI World 115
Book 2: Prompting and Generative AI Techniques 131
Chapter 1: Mapping the Lay of the Generative AI Land 133
Chapter 2: Introducing the Art of Prompt Engineering 149
Chapter 3: Navigating the Evolving Landscape of GenAI 161
Chapter 4: Introducing ChatGPT 175
Chapter 5: Getting Started with Microsoft Copilot 189
Chapter 6: Learning Advanced Prompting 203
Book 3: Increasing Productivity with AI 223
Chapter 1: Applying GenAI in Practical Scenarios 225
Chapter 2: Crunching the Numbers with Copilot 237
Chapter 3: Presenting with Copilot 263
Chapter 4: Meeting and Collaborating with Copilot 281
Chapter 5: Working with AI in a Roundup of Business Disciplines 293
Chapter 6: Managing AI Adoption and Change in Your Organization 317
Book 4: Creating Content with AI 333
Chapter 1: Using AI for Ideation and Planning 335
Chapter 2: Managing and Writing Emails with AI 349
Chapter 3: Developing Creative Assets 363
Chapter 4: Producing Long-Form Content 381
Chapter 5: Search Engine Optimization (SEO) in the AI Era 403
Chapter 6: Fine-Tuning Content with Localization and Translation 419
Book 5: AI at Home 433
Chapter 1: Relying on AI to Improve Human Interaction 435
Chapter 2: Using AI to Address Medical Needs 445
Chapter 3: Leveraging AI in Education 465
Chapter 4: Using GenAI in the Real World 481
Chapter 5: Financial Planning and Other Money Matters 491
Chapter 6: Retirement and Estate Planning 501
Book 6: Applying AI in Coding 517
Chapter 1: How Coding Benefits from AI 519
Chapter 2: AI Coding Tools 547
Chapter 3: Coding with Chatbots 571
Chapter 4: Progressing from Plan to Prototype 601
Book 7: Creating Custom AI Solutions 631
Chapter 1: Personalizing the Customer Journey by Using AI 633
Chapter 2: Boosting Online Business Growth with AI 649
Chapter 3: Enhancing Customer Service with Conversational AI Chatbots 665
Chapter 4: Making Custom Copilots 681
Chapter 5: Expanding Copilot's Capabilities with Plugins 705
Index 717
Chapter 1
Delving into What AI Means
IN THIS CHAPTER
Defining AI and its history
Using AI for practical tasks
Seeing through AI hype
Connecting AI with computer technology
Common apps, such as Google Assistant, Alexa, and Siri, have many people using artificial intelligence (AI) daily without even thinking about it. Productivity and creative apps such as ChatGPT, Synesthesia, and Gemini help us focus on the content rather than on how to get there. The media floods our entire social environment with so much information and disinformation that many people see AI as a kind of magic (which it most certainly isn't). So, the best way to start this book is to define what AI is, what it isn't, and how it connects to computers today.
Defining the Term AI
Before you can use a term in any meaningful way, you must have a definition for it. After all, if nobody agrees on a meaning, the term has none; it's just a collection of characters. Defining the idiom (a term whose meaning isn't clear from the meanings of its constituent elements) is especially important with technical terms that have received more than a little press coverage at various times and in various ways.
Saying that AI is an artificial intelligence doesn't tell you anything meaningful, which is why people have so many discussions and disagreements over this term. Yes, you can argue that what occurs is artificial, not having come from a natural source. However, the intelligence part is, at best, ambiguous. Even if you don't necessarily agree with the definition of AI as it appears in the sections that follow, this book uses AI according to that definition, and knowing it will help you follow the text more easily.
Discerning intelligence
People define intelligence in many different ways. However, you can say that intelligence involves certain mental activities composed of the following activities:
- Learning: Having the ability to obtain and process new information
- Reasoning: Being able to manipulate information in various ways
- Understanding: Considering the result of information manipulation
- Grasping truths: Determining the validity of the manipulated information
- Seeing relationships: Divining how validated data interacts with other data
- Considering meanings: Applying truths to particular situations in a manner consistent with their relationship
- Separating fact from belief: Determining whether the data is adequately supported by provable sources that can be demonstrated to be consistently valid
The activities list could easily grow quite long, but even this list is relatively prone to interpretation by anyone who accepts it as viable. As the list implies, however, intelligence often follows a process that a computer system can mimic as part of a simulation:
- Set a goal (the information to process and the desired output) based on needs or wants.
- Assess the value of any known information in support of the goal.
- Gather additional information that could support the goal. The emphasis here is on information that could support the goal rather than on information you know will support the goal.
- Manipulate the data such that it achieves a form consistent with existing information.
- Define the relationships and truth values between existing and new information.
- Determine whether the goal is achieved.
- Modify the goal in light of the new data and its effect on the probability of success.
- Repeat Steps 2 through 7 as needed until the goal is achieved (found true) or the possibilities for achieving it are exhausted (found false).
Even though you can create algorithms and provide access to data in support of this process within a computer, a computer's capability to achieve intelligence is severely limited. For example, a computer is incapable of understanding anything because it relies on machine processes to manipulate data using pure math in a strictly mechanical fashion. Likewise, computers can't easily separate truth from mistruth (as described in Chapter 2 of this book). In fact, no computer can fully implement any of the mental activities in the earlier list that describes intelligence.
As part of deciding what intelligence actually involves, categorizing intelligence is also helpful. Humans don't use just one type of intelligence; rather, they rely on multiple intelligences to perform tasks. Howard Gardner, a Harvard psychologist, has defined a number of these types of intelligence (for details, see the article "The Theory of Multiple Intelligences" from Project Zero at Harvard University, https://pz.harvard.edu/resources/the-theory-of-multiple-intelligences). Knowing them helps you relate them to the kinds of tasks a computer can simulate as intelligence. (See Table 1-1 for a modified version of these intelligences with additional description.)
TABLE 1-1 The Kinds of Human Intelligence and How AIs Simulate Them
Type
Simulation Potential
Human Tools
Description
Bodily kinesthetic
Moderate to high
Specialized equipment and real-life objects
Body movements, such as those used by a surgeon or a dancer, require precision and body awareness. Robots commonly use this kind of intelligence to perform repetitive tasks, often with higher precision than humans, but sometimes with less grace. It's essential to differentiate between human augmentation, such as a surgical device that provides a surgeon with enhanced physical ability, and true independent movement. The former is simply a demonstration of mathematical ability in that it depends on the surgeon for input.
Creative
None
Artistic output, new patterns of thought, inventions, new kinds of musical composition
Creativity is the act of developing a new pattern of thought that results in unique output in the form of art, music, or writing. A truly new kind of product is the result of creativity. An AI can simulate existing patterns of thought and even combine them to create what appears to be a unique presentation but is in reality just a mathematically based version of an existing pattern. To create, an AI would need to possess self-awareness, which would require intrapersonal intelligence.
Interpersonal
Low to moderate
Telephone, audioconferencing, videoconferencing, writing, computer conferencing, email
Interacting with others occurs at several levels. The goal of this form of intelligence is to obtain, exchange, give, or manipulate information based on the experiences of others. Computers can answer basic questions because of keyword input, not because they understand the question. The intelligence occurs while obtaining information, locating suitable keywords, and then giving information based on those keywords. Cross-referencing terms in a lookup table and then acting on the instructions provided by the table demonstrates logical intelligence, not interpersonal intelligence.
Intrapersonal
None
Books, creative materials, diaries, privacy, time
Looking inward to understand one's own interests and then setting goals based on those interests is now a human-only kind of intelligence. As machines, computers have no desires, interests, wants, or creative abilities. An AI processes numeric input using a set of algorithms and provides an output; it isn't aware of anything it does, nor does it understand anything it does.
Linguistic (often divided into oral, aural, and written)
Low
Games, multimedia, books, voice recorders, spoken words
Working with words is an essential tool for communication because spoken and written information exchange is far faster than any other form. This form of intelligence includes understanding oral, aural, and written input, managing the input to develop an answer, and providing an understandable answer as output. Discerning just how capable computers are in this form of intelligence is difficult in light of AIs such as ChatGPT because it's all too easy to create tests in which the AI produces nonsense answers.
Logical mathematical
High (potentially higher than humans)
Logic games, investigations, mysteries, brainteasers
Calculating results, performing comparisons, exploring patterns, and considering relationships are all areas in which computers now excel. When you see a computer defeat a human on a game show, this is the only form of intelligence you're seeing, out of eight kinds of intelligence. Yes, you may see small bits of other kinds of intelligence, but this is the focus. Basing an assessment of human-versus-computer intelligence on just one area isn't a good idea.
Naturalist
None
Identification, exploration, discovery, new tool creation
Humans rely on the ability to identify, classify, and...
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