ATAiAyush Technoinlearnaiayush.hashnode.dev·2d ago · 6 min readHow ChatGPT Actually Generates Text — Word by Word (Day 3)Yesterday we learned that ChatGPT is Generative AI — it creates text instead of just understanding it. But here's the question nobody fully answers: How does it actually do that? Not the marketing ver10
ATAiAyush Technoinlearnaiayush.hashnode.dev·3d ago · 1 min readWhat is AI, ML, Deep Learning, and Generative AI? (Finally Explained Simply)What's Coming Tomorrow Tomorrow I'm going deep on something that surprised me when I first learned it — how ChatGPT actually generates text, word by word, and why that one mechanism explains both why 10
ATAiAyush Technoinlearnaiayush.hashnode.dev·4d ago · 1 min read Learning AI with Ayush I'll be honest with you — not long ago, I had no idea what a neural network was. I'd heard the words "machine learning," "deep learning," "generative AI" thrown around everywhere. In the news, on LinkedIn, in job descriptions. And every time, I nodded along like I understood. I didn't. So I made a decision. Instead of quietly feeling left behind, I was going to learn AI — properly, from the beginning — and I was going to document every single day of that journey publicly. This blog is that documentation. Who I Am My name is Ayush. I'm a final-year B.Tech student in Information Technology from Bihar, India. I build web applications — React, Node.js, MongoDB — the full stack. I'm comfortable with code. But AI always felt like a different world. A world for researchers, PhDs, people with more time and more background than me. Turns out, that's not true. And that's exactly what I want to prove — to you, and to myself. What I'm Actually Doing Every single day for the next three months, I'm learning something new about AI and writing about it here in the simplest way I can. Not simplified to the point of being wrong. Simplified to the point of actually making sense. Some days it's a concept — like what a neural network actually is, or how ChatGPT generates text. Some days it's hands-on — running a model, testing a tool, building something small. Some days it's a reflection — what clicked, what didn't, what I'd do differently. Every day. No gaps. No skipping. The topics get more hands-on as the months go on. By month two, I'll be running actual AI models and building small projects. By month three, I'll be covering things like AI ethics, real industry applications, and advanced concepts like RAG and AI agents. All of it explained the way I wish someone had explained it to me. Why I'm Writing About It Three reasons. First: Teaching something is the fastest way to actually understand it. If I can explain a concept clearly enough that a non-technical person gets it, I know I've genuinely learned it. If I can't explain it, I haven't learned it yet. Second: I believe the best person to teach a beginner is someone who was a beginner recently. Not an expert who learned this ten years ago and has forgotten what's confusing about it. Someone who hit the same walls yesterday and figured out how to get past them. Third: The AI space moves fast and a lot of the content out there is either too technical or too shallow. I want to find the middle ground — honest, accurate, useful for someone starting from zero. What You'll Get If You Follow Along Every day, one new post. Each one covers something I genuinely learned that day — what it is, how it works, why it matters, and what surprised me about it. No jargon without explanation. No assumptions about your background. No pretending I know more than I do. If you're also trying to understand AI — whether you're a student, a developer, someone curious about where technology is heading, or someone who just wants to finally understand what ChatGPT actually is — this blog is for you. We're starting from the beginning. And we're figuring this out together. Follow along on LinkedIn and Twitter for daily updates and behind-the-scenes moments. First real post drops tomorrow: What is AI, ML, Deep Learning, and Generative AI — and what's actually the differe12S
