Articles about AI Concepts & Terminology in Technology & AI
Retrieval-Augmented Generation (RAG) is powerful, but it's like a librarian fetching books. Let's explore Tree-KGs, a new approach that gives your AI a brain-like map to navigate, reason, and explain its thinking.
Ever wonder how we get powerful AI models that don't require a supercomputer to run? The secret is a process called distillation, where massive "teacher" models train smaller "student" models. Let's break down how it works.
Ever had a perfectly good AI prompt suddenly fail for no reason? The culprit is likely tokenization drift, a subtle issue where tiny formatting changes cause big problems. Let's break down why it happens and how to fix it for good.
Ever wonder what actually powers AI? It's not magic—it's a fascinating world of specialized computer chips. Let's break down the key players like CPUs, GPUs, and TPUs in a way that actually makes sense.
A new AI model from Yann LeCun's team, LeWorldModel (LeWM), is making waves by learning to predict the world from raw pixels, end-to-end. It's faster, smarter, and avoids a common AI "cheating" problem called representation collapse.
Ever wonder why some searches are brilliantly insightful while others are frustratingly literal? We're breaking down the two powerhouses of information retrieval—old-school BM25 and new-school Vector Search—to see how they think, where they shine, and why the best AI systems use them together.
AI pioneer Yann LeCun just dropped a paper arguing that AGI is a poorly defined and unhelpful goal. He proposes a new target, Superhuman Adaptable Intelligence (SAI), that focuses on learning speed, not just knowledge.
Ever wonder what makes AI models like GPT-3 tick? We're breaking down "parameters" in simple terms. Plus, a look at the wild science of mimicking pregnancy in a lab.
From ambitious climate tech in Kenya to the AI buzzwords that took over our feeds, 2025 was a wild ride. Let's break down the year's biggest tech stories and what they really mean for us.
Have you ever felt something you couldn't quite name? It turns out we're creating new words for our feelings all the time, from "eco-anxiety" to AI-generated emotions like "velvetmist." Here's why that's a good thing.
Felt like you were drowning in AI jargon this year? From 'vibe coding' to 'chatbot psychosis,' we're breaking down the 14 terms that defined 2025 in plain English.
Ever notice your LLM slowing down as it generates longer text? The culprit is a massive inefficiency in how models handle memory. Let's break down KV caching, the simple but brilliant trick that solves this problem and makes AI generation drastically faster.