With the rise of large language models (LLMs), we are thinking and approaching things differently for many tasks, from natural language processing and text generation to programming. From OpenAI’s GPT-3 and GPT-4 to Anthropic Claude, Google’s PaLM, and Apple’s Certainly, we are in a post-LLM era. One of the most exciting tools is an open-source…
Telecom operators have seen remarkable returns from using generative AI to automate network management, customer care and back-office operations. Most of that impact has been task‑based: automation that speeds up predetermined steps while people manually correlate insights and direct next steps. Automation is no longer the finish line — it’s the launchpad to autonomy. The…
How Databricks hackathons work We run these hackathons for a simple reason: the fastest way to learn a product is to build something with it. Each one kicks off with an enablement session where teams get to know the product and where it is headed on the roadmap. Then the building starts. Teams work together…
July 9, 2026 — The European Commission has presented an Action Plan for a structured response to address the risks and harness the opportunities of advanced artificial intelligence (AI) models for cybersecurity. New advanced AI models are redefining cybersecurity. AI can be misused to identify vulnerabilities, automate attacks and increase the scale and speed of cyber…
Most real-world classification problems are imbalanced. Fraud, disease, churn, and defects are rare by nature. Standard classifiers chase accuracy, so they quietly ignore the very class you care about. For years, SMOTE was the reflex fix that everyone reached for first. But SMOTE often fails on the messy, high-dimensional data that production systems actually see….
Most inference benchmarks measure a single user hitting a dedicated endpoint. The numbers look great. They’re also useless for reasoning about production. In production, you’re running dozens or hundreds of concurrent requests. They compete for the same KV cache, the same memory bandwidth, the same GPU cycles. What matters is what happens to every user…
Most AI demos work. Most AI products don’t. This series is a collection of interviews with engineers who shipped AI agents to production, covering the stacks they chose, the architectures they regretted, and what actually held up at 3 am. This is an interview with Michael Maximilien, former CTO and Distinguished Engineer at IBM and…
NEW YORK — A couple of years ago, a reporter approached the Boys’ Club of New York looking to interview some of its middle-schoolers for a story about the mental health crisis in boys. It’s easy to see why. Many of the about 2,500 boys who participate in the 150-year-old organization’s after-school and weekend activities come…
The fake photo carried the clue that exposed it. An AI-generated image falsely depicting Sen. Mitch McConnell in a hospital bed was widely shared on social media before Snopes fact-checkers identified a Google SynthID watermark embedded in it. The case offers an unusual real-world demonstration of how invisible AI provenance signals could help verify suspicious…
# Introduction to Probability Concepts For a long time I treated probability as the vegetables of machine learning. The boring stuff you choke down before you get to the good part. Later on, I realized that probability is not just a prerequisite for machine learning but it makes much of machine learning work. But nobody…