How AI+me Vibe Coded My First Python Library in < 1 hour
Author(s): Supreeth Kashyap Originally published on Towards AI. My First Open Source Repo: AutoCRUD with Python, Gemini & Firebase Studio I like to call myself a vibe coder. I code with English on Firebase Studio with GeminiThe article describes the author’s experience …
Multimodal AI Is Just Tensor Algebra: The Linear Algebra Truth Behind Vision-Language Models
Author(s): DrSwarnenduAI Originally published on Towards AI. The Mathematical Symphony That Powers Billion-Dollar AI Systems After reverse-engineering the mathematical foundations of GPT-4V, DALL-E, and Claude 3, I’ve discovered something profound: these systems that seem to “understand” images and text are performing a …
Optimizing Transformer Inference with Grouped Query Attention
Author(s): Deepanshu Originally published on Towards AI. In the relentless race to build larger and more capable Large Language Models (LLMs), we often celebrate breakthroughs in model architecture and training scale. However, some of the most impactful innovations are less glamorous. They …
Inside World Models and V-JEPA: Building AI That Predicts Reality
Author(s): Abinaya Subramaniam Originally published on Towards AI. Artificial intelligence has dazzled the world with its ability to generate text, images, and even music. Large Language Models (LLMs) like GPT and multimodal systems that combine text, vision, and audio have pushed the …
GenAI Part 3 — How ChatGPT Works: A Simple Guide to the Transformer Architecture
Author(s): Faiz Ahmed Originally published on Towards AI. GenAI Part 3 — How ChatGPT Works: A Simple Guide to the Transformer Architecture I still remember the first time I used Google — it was for a school project when I had to …
The Sigmoid Function: Foundation of Neural Network
Author(s): Niraj Originally published on Towards AI. Series: Foundation of AI — Blog 1 Every modern neural network stands on mathematical pillars. One of the most important is the sigmoid activation function. It’s not just a formula; it’s the bridge between linear …
DoodlAI- Build a Real-Time Doodle Recognition AI with CNN
Author(s): Abinaya Subramaniam Originally published on Towards AI. Have you ever wondered if a computer could recognize your doodles of cats, trees, cars, or even clocks, as you draw them? That’s exactly what DoodlAI does. In this blog, I’ll take you step …
LangGraph Beginner to Advance: Part 3: Multi-Entries Inputs for State in LangGraph
Author(s): Talib Originally published on Towards AI. So now we’re about to build our second graph as you can see here. And it’s again quite similar to the first graph we built except now we’re going to be able to pass multiple …
The Secret Zoo of Numbers Behind Every Tech Breakthrough
Author(s): Jose Crespo, PhD Originally published on Towards AI. From quantum to AI and beyond, every tech advance is built on numbers you never imagined. Contrary to the way traditional math is often taught — overcomplicated, abstract, and detached from reality — …
Building an Employee Onboarding Chatbot with RAG, FastAPI, and AI
Author(s): Abinaya Subramaniam Originally published on Towards AI. Learn how to build a smart employee onboarding assistant using Retrieval-Augmented Generation (RAG), FastAPI, and LLMs. Step-by-step guide with code, vector embeddings, and conversation memory to create a context-aware AI chatbot for your company …
Master LangChain in 2025: From RAG to Tools (Complete Guide)
Author(s): Debasish Das Originally published on Towards AI. Langchain version 0.3 Models → Prompt →Output → Chain →Runnable →RAG → Documents Loaders → Text Splitter → Vector Store → Retriver → Creating Tools → Tools Calling → AI Agents I have provided …
Prototype-Based Models and The Growing Importance of Interpretable AI
Author(s): Shiska Raut Originally published on Towards AI. Photo by Nick Fewings on Unsplash Artificial Intelligence (AI) has transformed how we approach problems in science, industry, and everyday life. Deep learning models now power everything from medical image analysis to autonomous vehicles. …
LAI #94: Deep Learning Myths, Multi-Agent Frameworks, and Synthetic Data in Practice
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week, we take a closer look at what deep learning really is — and what it isn’t. Rather than true intelligence, it’s better thought of as sophisticated …
Querying APIs with Graph Intelligence: Agents That Truly Understand
Author(s): Souradip Pal Originally published on Towards AI. Have you ever tried asking a toddler a complex question? In case you’ve missed: Part 1 | Part 2 You say: “Can you get me the red cup from the kitchen, not the blue …
Do AI Agents Really Use the Tools You Build for Them? I Tested It.
Author(s): Marie Humbert-Droz, PhD Originally published on Towards AI. Testing tool coverage in local agents and how to improve compliance. I thought my healthcare AI agent would call my lab-checking tool every time it encountered lab values. Instead? Only 1 out of …
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