From AI to databases, we explain the hard stuff In Plain English — no jargon, no gatekeeping. Just real talk, real examples, and a little code when it helps.
Retrieval-Augmented Generation (RAG) lets AI systems find and use real information — so they're grounded in your data, not just what they were trained on.
Zero-shot learning is when an AI solves a new task without needing examples. It just understands what to do based on your instructions.
AI agents are smart programs that can plan, decide, and act on their own to reach a goal — kind of like how AI code assistants write and refactor code for you without you micromanaging every step.
Large Language Models (LLMs) are the brain behind AI tools like ChatGPT. They generate text by predicting the next word, trained on huge datasets.
Prompt engineering is how you 'talk' to AI tools. It’s the art of crafting instructions that guide large language models to do what you want.
Vector databases store meaning, not just data. They help AI tools retrieve relevant info based on semantic similarity — essential for modern search and LLM grounding.
ELI5 stands for "Explain Like I'm 5" – a way of breaking down complex topics into simple, easy-to-understand explanations.
Perfect for junior developers, career-switchers, or anyone trying to make sense of the fast-moving tech world.
Have a tech concept you'd like explained in plain English?Tweet us @InPlainEngHQ with the hashtag #ELI5Request.