The Complete Obsolete Guide to Generative AI
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Form:Einzelkauf Download
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Sprache:Englisch
41,68 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB
Kopierschutz
Ja
Family Sharing
Ja
Text-to-Speech
Ja
Erscheinungsdatum
17.09.2024
Verlag
ManningSeitenzahl
240 (Printausgabe)
Dateigröße
10474 KB
Sprache
Englisch
EAN
9781638355588
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AI technology moves so fast that this book is probably already out of date!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 worryThe 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:
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 timeand 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 communicationand maybe even learn how to make peace with your new robot overlords.
What's inside
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 worryThe 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
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 timeand 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 communicationand 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
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
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