Everything you need to know about AI to survive—and thrive—as an engineer.

If you’re worried about your tech career going obsolete in a world of super-powered AI, never fear. The AI Pocket Book crams everything engineers need to know about AI into one short volume you can fit into your pocket. You’ll build a better understanding of AI (and its limitations), learn how to use it more effectively, and future-proof your job against its advancement.

In The AI Pocket Book you’ll find no-nonsense advice on:

• Deciphering AI jargon (there’s lots of it!)

• Where AI fits within your field of engineering

• Why AI hallucinates—and what to do about it

• What to do when AI comes for your job

• The dark side of AI—copyright, snake oil, and replacing humans

• Balancing skepticism with unrealistic expectations

The AI Pocket Book gives you Emmanuel Maggiori’s unvarnished and opinionated take on where AI can be useful, and where it still kind of sucks. Whatever your tech field, this short-and-sweet guide delivers the facts and techniques you’ll need in the workplace of the present.

About the technology

You don’t have to know everything about AI to get a big payoff! Whether you’re looking to boost your coding speed, generate ideas for your next project, or just get a helping hand with your next Medium article, there’s an AI-powered tool ready to assist. This fit-in-your pocket guide tells you everything you need to surf the AI wave instead of drowning in it.

About the book

The AI Pocket Book takes a peek inside the AI black box and gives you just enough on key topics like transformers, hallucinations, and the modern ecosystem of AI models and tools. You’ll get handy techniques to select AI tools, learn when putting AI first is the smart move, and pick up some excellent tips for managing the inevitable, potentially expensive, screw ups.

What's inside

• Deciphering AI jargon (there’s lots of it!)

• Evaluating AI tools

• Why AI hallucinates and what to do about it

• How and when to use AI

About the reader

For engineers in all fields, from software to security.

Table of Contents

1. How AI works

2. Hallucinations

3. Selecting and evaluating AI tools

4. When to use (and not to use) AI

5. How AI will affect jobs and how to stay ahead

6. The fine print

A. Catalog of generative AI tools

About the Author

Emmanuel Maggiori, PhD, is a 10-year AI industry insider who specializes in machine learning and scientific computing. He has developed AI for everything from processing satellite images to packaging deals for holiday travelers. Emmanuel Maggiori is the author of Smart Until It's Dumb and Siliconned.