The Complete Obsolete Guide to Generative AI - David Clinton
pdf | 29.81 MB | English | Isbn:9781638355588 | Author: David Clinton | Year: 2024
About ebook: The Complete Obsolete Guide to Generative AI
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AI technology moves so fast that this book is probably already out of date!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.
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.
Table of Contents
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
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.
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.
Table of Contents
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
Category:Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Computer Programming, Programming Languages, Artificial Intelligence - General, Expert Systems, Scripting Languages, Python (Computer program language)