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Название: The Complete Obsolete Guide to Generative AI (Final Release) Автор: David Clinton Издательство: Manning Publications Год: 2024 Страниц: 240 Язык: английский Формат: pdf (true) Размер: 22.9 MB
The last book on AI you'll ever need. We swear!
AI technology moves so fast that this book is probably already out of date! But don't worry—The Complete Obsolete Guide to Generative AI is still an essential read for anyone who wants to make generative AI into a tool rather than a toy. It shows you how to get the best out of AI no matter what changes come in the future. You'll be able to use common automation and scripting tools to take AI to a new level, and access raw (and powerful) GPT models via API.
Inside The Complete Obsolete Guide to Generative AI you will find Just enough background info on AI! What an AI model is how it works Ways to create text, code, and images for your organization's needs Training AI models on your local data stores or on the internet Business intelligence and analytics uses for AI Building your own custom AI models Looking ahead to the future of generative AI
Where to get started? How about creating exciting images, video, and even audio with AI. Need more? Learn to harness AI to speed up any everyday work task, including writing boilerplate code, creating specialized documents, and analyzing your own data. Push beyond simple ChatGPT prompts! Discover ways to double your productivity and take on projects you never thought were possible! AI—and this book—are here to show you how.
About the technology
Everything you learn about Generative AI tools like Chat-GPT, Copilot, and Claude becomes obsolete almost immediately. So how do you decide where to spend your time—and your company's money? This entertaining and unbelievably practical book shows you what you can (and should!) do with AI now and how to roll with the changes as they happen.
About the book
The Complete Obsolete Guide to Generative AI is a lighthearted introduction to Generative AI written for technology professionals and motivated AI enthusiasts. In it, you'll get a quick-paced survey of AI techniques for creating code, text, images, and presentations, working with data, and much more. As you explore the hands-on exercises, you'll build an intuition for how Generative AI can transform your daily work and communication—and maybe even learn how to make peace with your new robot overlords.
When used effectively, AI can make you faster, smarter, and more efficient at whatever you do. The key word there is effectively. That’s because simply interacting with an AI chat tool like ChatGPT is definitely worth the effort. But if that’s as far as you go, you’re leaving an awful lot of money—and value—on the table because the real payoff comes from automating your prompts and integrating them with your own programming and business productivity tools.
To get there, I’ll introduce you to a powerful set of third-party tools that, in one way or another, use the power of AI engines. But I’ll also show you how to use code to automate your prompts. Most of what we’ll see will be useful even if you don’t use the Python and Bash code I’ll show you. But, if you’re up for a bit of a challenge, taking your first programming steps with my examples won’t be as hard as you think: I’ll show you everything you’ll need to make it work.
What's inside The big picture of Generative AI tools and tech Creating useful text, code, and images Writing effective prompts AI-driven data analytics
About the reader Written for developers, admins, and other IT pros. Some examples use simple Python code.
About the author David Clinton is an AWS Solutions Architect, a Linux server administrator and a world-renowned expert on obsolescence.
The technical editor on this book was Maris Sekar.
1 Understanding generative AI basics 2 Managing generative AI 3 Creating text and code 4 Creating with media resources 5 Feeding data to your generative AI models 6 Prompt engineering: Optimizing your experience 7 Outperforming legacy research and learning tools 8 Understanding stuff better 9 Building and running your own large language model 10 How I learned to stop worrying and love the chaos 11 Experts weigh in on putting AI to work A Important definitions and a brief history B Generative AI resources C Installing Python
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