Updated: 7 days ago
Artificial Intelligence is transforming the publishing industry. It's important to know tech jargon to stay relevant and understand the changes happening around you in the editing world.
That's why I've crafted The Editor's AI Dictionary—to demystify AI vocabulary and help you navigate the crossroads of technology and editing. In this guide, we'll break down the core AI terms into easy-to-understand definitions and include real-world examples of AI you likely already use in your everyday life.
Ready to crack the code? Let's dive in.
Computer systems that can perform tasks typically requiring human intelligence, such as understanding natural language, recognizing patterns, and adapting to new situations.
Example: smart thermostat that automatically adjusts temperature
A single AI system
Example: Google’s Bard
A type of artificial intelligence that allows systems to learn and improve from experience without being programmed with specific instructions.
Example: facial recognition
A computing system inspired by the structure of the human brain. It consists of a collection of nodes, or "neurons," and the connections between them. These networks are key components of many machine learning models and can recognize patterns and relationships in data.
Example: handwriting recognition for check processing
A type of Artificial Intelligence that makes new content by drawing on what it has previously learned from existing content.
Example: Midjourney, which creates an image from a text prompt
(This is what I used to create the computer in the image above.)
Language Model / Large Language Model
A type of Artificial Intelligence model that can understand and generate text in a human-like manner. It learns patterns in language. Then, when given a piece of text, it predicts what comes next. A Large Language Model is trained on a bigger amount of text/information and has a better understanding of nuanced language and reasoning.
Example: predictive text on iPhone texting, ChatGPT
Generative Pretrained Transformer (GPT)
The type of artificial intelligence tool ChatGPT is. “Generative” means it can create data. "Pretrained" means it has already learned from a vast amount of text. "Transformer" means the type of neural network it uses, which is good at understanding relationships between sentences.
A computer program that lets people talk to a Large Language Model in a conversational manner via text or voice. This often looks like a person asking the chatbot a question, and the chatbot answering with the requested information.
Example: Amazon's Alexa
A piece of text given to a Large Language Model for it to respond to.
Example: “What are the arguments for and against having a rabbit as a pet?”
The text the Large Language Model generates in reply to the prompt.
Example: “Here are the arguments for and against having a rabbit as a pet. Pro: 1) They don’t require walks...”
When a chatbot answers with false information.
Example: an attorney who asked ChatGPT for legal cases, which he then used in court filings, not knowing ChatGPT invented the cases and they did not exist
Erin Servais is an editor, educator, and community builder. She founded the Editors Tea Club, an online space where editors gather for education and support, and she offers editor coaching through her company, Dot and Dash.
In her fifteen years in publishing, she has helped to bring hundreds of titles to print and has presented about editing and entrepreneurship across the United States and Canada. Erin serves on the board of directors for ACES: The Society for Editing.
She always tells ChatGPT please and thank you, just in case.
Email Erin: Erin@aiforeditors.com