Part 1-AI Jargon Decoder for Newbies: From “Gen AI” to “Agent Sprawl” (Without the Headache)
Part 1 - AI Articles and Tutorials Series
When you first step into AI, it can feel like everyone is speaking a new dialect of English made entirely of acronyms and buzzwords. This article is your brief guide to understanding that jargon. It is inspired by real conversations among a few friends and me at various instances. Therefore, I felt the urgency to document that in this AI series.
1. Start with the big picture
Before the above word bubble burst in our faces, let’s anchor on a few core ideas.
AI (Artificial Intelligence)
Software that does tasks we usually associate with human intelligence: understanding language, recognizing images, making decisions, and planning.Generative AI (Gen AI)
AI that creates new content, for example: text, images, code, audio, video, by learning patterns from huge datasets and then predicting what comes next. Think “auto‑complete for everything,” not just sentences.Large Language Model (LLM)
A very large neural network trained on massive amounts of text to predict the next token. A token in AI is roughly equal to 4 characters. ChatGPT, Claude, Llama, Gemini, and others are all LLMs.Multimodal model
A model that can handle more than one type of input (text, images, audio, sometimes video) and combine them. For example: “Look at this screenshot and explain what the error means.”Application Programming Interface (API)
A standardized way for software to talk to other software. When people say “call the OpenAI API,” they mean: send a structured request (JSON) with your prompt and settings, and get a structured response back.
Remember one mental model: an LLM is a very capable, context‑hungry text predictor that you can talk to directly or through an API.
When I explain these concepts, I often visualize them as a stack or a ladder. I proceed from the easiest concept to the hardest; I tried to use the Notebook LM to draw it for me, as shown in the following figure. It is not exactly as I have them in my mind, but close.




