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[ Glossary ]

The jargon,decoded

MVP, LLM, RAG, API — the terms you keep running into, explained in plain English for founders and business owners. No computer-science degree required.

12 Terms

API (Application Programming Interface)

A defined way for two pieces of software to talk to each other — like a waiter taking your order to the kitchen and bringing back the food.

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CI/CD (Continuous Integration / Continuous Delivery)

An automated pipeline that tests every code change and ships it to users safely, so releases are frequent, small, and low-drama.

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Fine-tuning

Further training an existing AI model on your own examples so it adopts a specific style, format, or task more reliably.

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LLM (Large Language Model)

The AI behind tools like ChatGPT — a model trained on huge amounts of text that predicts and generates human-like language.

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MVP (Minimum Viable Product)

The smallest version of your product that real users can use to solve a real problem — built to learn, not to impress.

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No-Code / Low-Code

Tools that let you build software with visual builders and little or no programming — fast to start, with limits as you scale.

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Prompt Engineering

The craft of writing clear instructions to an AI model so it reliably produces the output you want.

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Prototype vs MVP

A prototype is a throwaway model to test an idea or a design; an MVP is a real, usable product that ships to real users.

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PWA (Progressive Web App)

A website built to behave like an app — installable to the home screen, works offline, and sends notifications — without an app store.

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RAG (Retrieval-Augmented Generation)

A technique that feeds an AI model your own documents at question time, so its answers are grounded in your data instead of guesswork.

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SaaS (Software as a Service)

Software you access over the internet and pay for by subscription, instead of buying and installing it once.

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Vector Database

A database that stores information by meaning, so an AI can find the most relevant content even when the wording is different.

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