Fast vs. Slow: How (and When) to Make Models Think
Author(s): Towards AI Editorial Team Originally published on Towards AI. Our AI team attended COLM 2025 this year. In this piece, François Huppé-Marcoux, one of our AI engineers, shares the “aha” moment that reshaped his view of reasoning in LLMs. We talk …
AI-Driven Machining: Building a Closed-Loop CNC System with IIoT Feedback (Building the CNC)
Author(s): R Rajesh Swamy Originally published on Towards AI. Building the CNC With the AI brain ready to make machining decisions, it was time to give it a body — the CNC machine itself.This phase focused on creating a fully functional three-axis …
🧠 MLOps Mastery: Seamless Multi-Cloud Pipeline with Amazon SageMaker and Azure DevOps 🌐
Author(s): DiPAK KNVDL Originally published on Towards AI. How modern enterprises build scalable, production-ready ML systems across AWS & Azure In today’s data-driven world, enterprises generate massive amounts of data across distributed systems, mobile applications, IoT devices, and transactional platforms. Transforming this …
How to Use Sparse Vectors to Power E-commerce Recommendations With Qdrant
Author(s): Sayanteka Chakraborty Originally published on Towards AI. 1. Introduction In e-commerce, success hinges on one thing: showing the right product to the right user at the right time. Whether it’s search results, recommendations, or personalized feeds, every interaction shapes how a …
The SQL Renaissance: Why a 50-Year-Old Language is Suddenly Everywhere in the AI Era
Author(s): Mahathidhulipala Originally published on Towards AI. SQL is having its biggest moment in decades. Not despite the AI revolution — because of it. The language that was supposed to be replaced by NoSQL databases, then Python pandas, then whatever came next, …
I Wasted 100 Hours on ETL Bugs — How Copilot Slashed My Data Pipeline Time by 55%
Author(s): Navya Sravani Jammalamadaka Originally published on Towards AI. Hey data engineers — ever stared at a Spark job log for hours, cursing schema mismatches while your coffee goes cold? 😩 Last quarter, I did. 100 hours. Gone. Poof. Debugging ETL pipelines …
AI-Driven Machining: Building a Closed-Loop CNC System with IIoT Feedback
Author(s): R Rajesh Swamy Originally published on Towards AI. Every machining system begins with precision — but very few truly understand precision. Traditional CNC machines are masters of repetition: they cut, carve, and shape metal flawlessly, yet they remain blind to what’s …
Revolutionize Your Workflow with Gemini Code Assist
Author(s): Dimitre Oliveira Originally published on Towards AI. Image generated with Imagen 4 In the current fast-paced and evolving world of software development, staying ahead of the curve is crucial. AI-powered tools are no longer a futuristic concept but a present-day reality …
Vibe Coding, Explained: What You Really Need to Know in 2025
Author(s): Michele Mostarda Originally published on Towards AI. Generated by Author A practical guide to AI app builders — Replit, Bolt, Lovable, Databutton, Base44, Cursor, and Windsurf — and how to pick the right one. TL;DR Prompt-driven development (aka vibe coding) compresses …
Why Traditional ML Fails at Fraud Detection (And How I Fixed It)
Author(s): Dewank Mahajan Originally published on Towards AI. How data science, domain intuition, and robust feature engineering come together to fight modern financial fraud. Why Fraud Detection Is a Human Story Fraud isn’t just a data problem.It’s a battle of wits between …
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