Strategic AI deployment could unlock $4.4 trillion in productivity growth, yet only 1% of leaders consider their companies AI-mature, according to a McKinsey report. A key part of reaching maturity is ...

Learn how to build an AI agent in 2026 using simple tools and step-by-step methods. Explore automation basics, tools, and ...

Large language models like ChatGPT's GPT-4o seem to have all the information in the known universe, or at least what engineers could scan off the internet. But what if you want to use a large language ...

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform discipline. Enterprises that succeed with RAG rely on a layered architecture.

Many in the industry think the winners of the AI model market have already been decided: Big Tech will own it (Google, Meta, Microsoft, a bit of Amazon) along with their model makers of choice, ...

It’s now possible to run useful models from the safety and comfort of your own computer. Here’s how. MIT Technology Review’s How To series helps you get things done. Simon Willison has a plan for the ...

Last week, South Korea’s SK Telecom released a new entry in the global AI race: A.X 3.1 Lite, a 7-billion-parameter language model trained entirely from scratch for Korean use cases. It’s small enough ...

"The only sustainable competitive advantage is to learn faster than your competition." That quote (from former GE CEO Jack Welch) rings true now more than ever. With large language models (LLMs) like ...