Picture AI as the world’s fastest assistant who never sleeps, never gets grumpy, and can juggle 1,000 tabs at once. You can pay it pennies an hour—or ignore it and keep grinding. This guide shows you how to hire that assistant today.
Promise: In 10‑ish minutes you’ll understand the lingo and run at least one workflow that saves you time.
Term | One‑Liner | Where You’ll Bump Into It |
---|---|---|
AI (Artificial Intelligence) | Software that mimics human problem‑solving or creativity. | Everywhere—from Netflix recommendations to ChatGPT. |
Machine Learning (ML) | The branch of AI that learns patterns from data instead of following hard‑coded rules. | Spam filters, fraud detection, image recognition. |
LLM (Large Language Model) | Giant text‑prediction brain trained on most of the internet. | ChatGPT, Claude, Gemini. |
Token | A chunk of text a model reads or writes (≈¾ of a word). | Determines cost & context size. |
RAG (Retrieval‑Augmented Generation) | Grab fresh or private data → feed it to the model → get a custom answer. | Chatbots that quote internal docs, real‑time news assistants. |
MCP (Model · Context · Prompt) | Zephyr’s formula: choose the Model, load the Context it needs, craft the Prompt. | Every time you talk to an LLM. |
Parameters | The adjustable knobs the model learned during training (GPT‑4o has trillions). | Bigger ≠ always better, but usually smarter. |
Quick Nerd‑Check: If you know these seven terms, you can survive 90% of AI conversations at parties.
Takeaway: You don’t need a PhD—just remember: Training = brain‑building, Retrieval = memory refresh, Prompting = conversation.
Text Wizards (LLMs)
Use‑Now: Paste last week’s blog and ask for a 280‑char tweet thread.
Voice Assistants & Speech AI
Use‑Now: Dictate a brainstorm on your walk; get automatic transcription.
Image Generators
Use‑Now: Produce three hero images for your landing page—no stock fees.
Video Synthesizers
Use‑Now: Turn a product screenshot + script into a 15‑sec promo reel.