Название: Generative AI For Dummies
Автор: Pam Baker
Издательство: For Dummies
Год: 2025
Страниц: 304
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Generate a personal assistant with Generative AI.

Generative AI tools capable of creating text, images, and even ideas seemingly out of thin air have exploded in popularity and sophistication. This valuable technology can assist in authoring short and long-form content, producing audio and video, serving as a research assistant, and tons of other professional and personal tasks. Generative AI For Dummies is your roadmap to using the world of Artificial Intelligence (AI) to enhance your personal and professional lives. You'll learn how to identify the best platforms for your needs and write the prompts that coax out the content you want. Written by the best-selling author of ChatGPT For Dummies, this book is the ideal place to start when you're ready to fully dive into the world of Generative AI.

You can think of AI (short for Artificial Intelligence) as incredibly sophisticated software. Although it doesn’t behave like any other software ever made, it is still software. Illustrations depicting AI as robots reflect the difficulty in drawing AI software in a way everyone will instantly recognize. But the robot is actually mindless hardware, and the AI is the “smart” brain-mimicking software installed to enable it to function in ways we consider to be intelligent in a nonorganic sense.

Technically speaking, GenAI refers to a subset of Artificial Intelligence technologies that use sophisticated natural language processing (NLP), neural networks, and Machine Learning (ML) models to generate unique and humanlike content. It belongs to a classification of AI called Large Language Models (LLMs), which analyze huge amounts of data in numerous languages including human languages, computer code, math equations, and images.

LLMs typically have a substantial number of parameters, which are numerical values used to assign weight and define connections between nodes and layers in the neural network architecture. Parameters can be adjusted to change the weights of various values, which in turn, changes what the model prioritizes in the prompt and data and how it interprets various data points, words, and connections.

Imagine you have a recipe for making a cake, and the recipe is your GenAI model. The ingredients — like flour, sugar, eggs, and butter — are like the data points, words, and connections in the model. Now, the amount of each ingredient you use (how many cups of flour, how much sugar, and so on) are like the weights of various values in the GenAI model or GenAI application.

Just as you might adjust the ingredients in your cake to make it sweeter or fluffier by adding more sugar or an extra egg, you can adjust the parameters in a GenAI model to change what it focuses on and how it interprets the information it’s given. If you want your GenAI to pay more attention to certain words or data points, you increase their weight just like adding more chocolate chips to your cake if you want it to be extra chocolatey. This way, the GenAI model, like your cake, turns out the way you want it to, based on what you prioritize in the recipe.

LLMs use parameters to predict the next word in a sequence — meaning they predict the word most likely to follow the words in your prompt, and then the word that most likely follows its first predicted word, and so on until the model believes it has finished the most probable pattern. It generates images in much the same way by predicting the image that follows your description in the prompt. The models can complete the process incredibly quickly. For example, LLMs like GPT-3 and GPT-4o developed by OpenAI are capable of processing billions of words per second. It is the speed of its response, the appearance of nuanced understanding, and its fluid use of natural language that gives GenAI interactions a humanlike feel.

• Discover the best generative AI tools and learn how to use them for writing, designing, and beyond
• Write strong AI prompts so you can generate valuable output and save time
• Create AI-generated audio, video, and imagery
• Incorporate AI into your everyday tasks for enhanced productivity

This book offers an easy-to-follow overview of the capabilities of Generative AI and how to incorporate them into any job. It's perfect for anyone who wants to add AI know-how into their work.






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