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8 New AI Terms You Should Know to Be Ahead of 90% of People
A few more AI terms to know beyond tokens, prompts, and hallucinations.
I recently read this piece from Shreyas Naphad, “If You Understand These 5 AI Terms, You’re Ahead of 90% of People,” and had fun reading it.
As an AI enthusiast and a technical writer who’s been writing about AI for more than five years now, I’m already familiar with all five terms. But then I thought, hey, there are more AI terms people should know, including some newer ones.
So I wrote this piece to share eight more terms and explain them in the best non too technical way I can. The next time you hear or read about them, you’ll know what they mean and why people are talking about them.
Let’s start.
1. Harness
A raw model is a brain in a jar. It can think. But on its own, it cannot open Slack, send an email on your behalf, or even know when to quit.
A harness is the software around the model that lets it do those things. It gives the model access to tools and information, manages permissions, and controls when it should retry, stop, or ask you for help.
