Videos de how AI works
Videos etiquetados con "how AI works"
how AI works 2 videos
What Is a Large Language Model? (LLMs Explained From Zero)
Try it yourself — the full written explainer and an interactive next-word predictor are here: https://unrote.com/ai/what-is-an-llm/ A large language model sounds mysterious, but underneath it's one simple idea: a giant math function that, given some text, predicts the most likely next chunk of text — then feeds its own guess back in and does it again. That loop, repeated, is the whole engine. This is a build-from-zero explainer. No jargon assumed. We start with the autocomplete on your phone, watch a model generate a sentence one word at a time with real probabilities, and end up understanding why it can sound brilliant and still be confidently wrong. What we cover: - Why an LLM is really just autocomplete, scaled up enormously - Predict, append, repeat — how it writes one token at a time - Why it works in tokens (chunks), not whole words - Where the skill comes from: training on a huge pile of text - Why "Large" matters — billions of parameters - Why it doesn't actually "know" anything, and why that causes hallucinations - Why doing one simple thing well, at scale, ends up looking like intelligence Chapters: 0:00 What a large language model is 0:26 The whole thing in one sentence 0:44 Read the name backwards: L, L, M 1:03 It's autocomplete you already use 1:42 Watch it predict, word by word 2:36 It works in tokens, not words 2:59 Where the skill comes from: training 3:45 Why "Large" matters 4:10 It doesn't know — it predicts 4:33 So why does it feel intelligent? 4:58 Where this goes next 5:21 Recap This is the first video in an AI series on Unrote — modern AI explained from zero, one idea per page. Up next: What Are Tokens? Unrote. Understand it, don't memorize it.
How AI Creates Images Explained | Diffusion Models & Prompt to Image AI
How does AI actually create images from a simple text prompt? In this video, we break down the magic behind AI image generation in 4 simple stages — from training the AI's visual brain to turning random noise into stunning, detailed pictures. Whether you're using Midjourney, DALL·E, Stable Diffusion, or any other AI art generator, this guide will help you understand exactly what's happening behind the scenes when you type a prompt and watch an image appear. 🔑 What you'll learn: • Stage 1: How the AI Learns — Building a Visual Brain with training data • Stage 2: How AI Analyzes Your Prompt — Turning words into meaning • Stage 3: From Noise to Image — The Diffusion Process explained • Stage 4: Why AI Generates Multiple Versions of the same prompt We also explore the bigger question: If an AI can create art, what does it mean to be an artist? Perfect for beginners, creators, designers, and anyone curious about how generative AI, machine learning, neural networks, and diffusion models work together to create images. 👍 Like, subscribe, and turn on notifications for more easy explainers on AI, technology, and the future of creativity. #AI #ArtificialIntelligence #AIArt #ImageGeneration #DiffusionModels #MachineLearning #GenerativeAI #DeepLearning #PromptEngineering #AIExplained #Midjourney #StableDiffusion #DALLE #TechExplained #FutureOfAI