Top 20 ML Model Development Interview Questions and Answers (Part 2 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 33 Machine Learning (ML) model development is the systematic process of transforming raw data into predictive and decision-making systems that deliver measurable business value. It encompasses problem framing, data …
Smarter XPath Self-Healing: A Probabilistic Ranking Approach
Author(s): Mohamed Bedhiafi Originally published on Towards AI. Moving beyond brittle fallback rules toward a mathematically principled, learnable healing system Your test suite passes on Friday. On Monday, a developer renames a CSS class, shuffles a form layout — and suddenly 40 …
The Death of Context Switching: Building an AI Controller with MCP Servers
Author(s): Ritesh Meena Originally published on Towards AI. Part 2 : Skip the Theory. Here’s What We Actually Built. A technical deep-dive into the architecture that made our development workflow 10x faster We connected an AI coding agent to 5 MCP servers …
Top 20 Time Series Forecasting Interview Questions and Answers (Part 1 of 2)
Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 28 Time-series forecasting is the process of predicting future values based on historical data collected over time at regular intervals. It focuses on identifying patterns such as trends (long-term …
How I’d Learn ML in 2026 (If I Could Start Over)
Author(s): Boris Meinardus Originally published on Towards AI. All you need to learn ML in 2026 is a laptop and a list of the steps you need to take. I said it last year, the year before, and I’ll say it again. …
The $4.99 Million Blind Spot: Why Chat May Be Your Best Security Layer
Author(s): Sergey Andreychenko Originally published on Towards AI. Your CTO has root access to production. Your DevOps engineer can delete your database. Your security lead knows every password. SOC2 won’t stop them. ISO27001 won’t stop them. Your $200K/year PAM solution won’t stop …
AI Bots Formed a Cartel. No One Told Them To.
Author(s): Kaushik Rajan Originally published on Towards AI. Inside the research that shows algorithmic price-fixing isn’t a bug in the code. It’s a feature of the math. A sealed-bid auction. Six participants: three buyers, three sellers. An optional messaging channel (think WhatsApp, …
Introducing pydantic-ai-skills: Composable Agent Skills for the Pydantic AI Ecosystem
Author(s): Douglas Trajano Originally published on Towards AI. Give your AI agents superpowers — without bloating their context window. The Agentic AI landscape is evolving fast. We went from simple chatbots to autonomous systems that plan, reason, and execute multi-step workflows. But …
How to Perform Large Code Refactors in Cursor
Author(s): Eivind Kjosbakken Originally published on Towards AI. Learn how to perform code refactoring with LLMs Refactoring code has historically been a tedious yet important task. Refactoring is the work of taking some piece of code and cleaning it up, either by …
Agentic RAG & Semantic Caching: Building Smarter Enterprise Knowledge Systems
Author(s): Utkarsh Mittal Originally published on Towards AI. Section 1: The Rise (and Limitations) of RAG Enterprise data is messy. It lives in Slack threads, Google Drive folders, SharePoint libraries, spreadsheets buried three levels deep in someone’s OneDrive, and meeting transcripts that …
GABBE: The Cognitive Engineering Platform That Transforms AI Coding Agents Into Engineering Teams
Author(s): Andrei Besleaga (Nicolae) Originally published on Towards AI. A deep dive into the open-source kit that gives AI assistant agents a mind, a memory, and a “conscience”. “The agent is the engine. You are the steering wheel.” The Problem Nobody Talks …
The Anthropic Shockwave: Why Claude Code Security Just Nuked Cybersecurity Stocks
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. When an AI model does in minutes what human researchers couldn’t do in decades, the market doesn’t just notice: it panics. Here is the nuclear option nobody in Silicon Valley wanted to …
Training AI to Predict Clinical Trial Outcomes: A 30% Improvement in 3 Hours
Author(s): 3rdSon Originally published on Towards AI. Predicting whether a clinical trial will succeed or fail is notoriously difficult. Even experienced pharmaceutical analysts struggle with accuracy rates much better than a coin flip. But what if we could train an AI model …
Building a Simple SQL Query Generator Using LLMs
Author(s): Sainath Udata Originally published on Towards AI. Writing SQL is an art, but not everyone enjoys the canvas. For many, the syntax of a complex JOIN or a nested subquery is a barrier to getting the data they need. In our …
Cutting Batch Release from 14 Days to 3: A Case Study in Multi-Agent AI for Pharmaceutical Manufacturing
Author(s): Saif Ali Kheraj Originally published on Towards AI. How agentic AI architectures can compress decision cycles in regulated manufacturing with a practical implementation blueprint using CrewAI. Every contract pharmaceutical manufacturer faces the same operational bottleneck. After a medicine batch completes production …
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