From Clusters to Customers: Supercharging Segmentation with Generative AI
Author(s): Abhijeet Sahoo Originally published on Towards AI. The “Consultant’s Confession” If you’ve spent any time in pharma consulting, you know the drill. We live in a world of high-stakes “Patient Journeys” and “HCP Target Lists.” I’ve spent more hours than I …
AI in the Middle of UI/UX: When Machines Learn to Fix What Humans Break
Author(s): Jageen Shukla Originally published on Towards AI. A feasibility study in autonomous UX optimization Let me start with a confession: traditional UX optimization is painfully slow, expensive, and often misses the mark. autonomous-ux-engineThis article discusses the development of a multi-agent AI …
Building Production Text-to-SQL for 70,000+ Tables: OpenAI’s Data Agent Architecture
Author(s): MKWriteshere Originally published on Towards AI. How OpenAI handles 600PB of data with self-correcting agents, six context layers, and closed-loop validation — a technical guide you can replicate It’s 4:55pm. Image Generated by Author Using AIThe article discusses OpenAI’s architecture for …
How to Increase the Context Length of LLM?
Author(s): Bibek Poudel Originally published on Towards AI. References Effective Long-Context Scaling of Foundational Models Qwen3 Technical Report Attention Based Frequency What is Positional Encoding? At its core, positional encoding answers a deceptively simple question: How does a transformer know that “bank” …
Building RAG Systems: From Tutorial to Production (The Real Story)
Author(s): AbhinayaPinreddy Originally published on Towards AI. When Your AI Confidently Lies to Your Legal Team Picture this: You’re in a boardroom. Your new AI system is answering questions about company policies. Everything’s going smoothly. Then the legal team asks about your …
Master LoRA: Fine-Tune Giant AI Models on Your Laptop (Complete Guide) 💻
Author(s): AbhinayaPinreddy Originally published on Towards AI. 🤯 The Impossible Dream That Became Reality Imagine this: You want to train your own version of ChatGPT for your specific business. You check the requirements. LoRA is a game-changing technique that’s democratizing AI development.The …
The Two Things Every Reliable Agent Needs
Author(s): Shenggang Li Originally published on Towards AI. Memory-first design + anti-Goodhart scoreboards for systems that don’t optimize proxies. Let me guess how your “agent” demo went. Photo by zero take on UnsplashThis article discusses the essential components for creating reliable AI …
Copilot vs. “Private AGI”: When Human–LLM Collaboration Is Enough (and When It Isn’t)
Author(s): Shenggang Li Originally published on Towards AI. A practical framework — with data, a little math, and field-tested workflows — for experts deciding between interactive LLM work and autonomous agent/AGI-style systems. A quiet confusion sits under most “AI at work” debates: …
4 Retrieval Strategies: Why Most RAG Systems Fail at Retrieval (Not Generation)
Author(s): Divy Yadav Originally published on Towards AI. Retrieval Strategies for Building a Robust, Production-Ready RAG System Retriever is the heart of any Rag based Systsem, and also the most critical point of failure too. Photo by GeminiThe article discusses several crucial …
Inside the Mamba-MoE Engine of Nemotron 3
Author(s): Kyouma45 Originally published on Towards AI. TL;DR The Models: The family includes Nano, Super, and Ultra.The Architecture: A Hybrid Mamba-Transformer Mixture-of-Experts (MoE) design that replaces most attention layers with Mamba-2 layers for high throughput. Key Innovations: LatentMoE: A new expert routing …
Recent Posts
