There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Learn how to build an NFT marketplace in 2026. We cover market stats, tech stacks, RWA integration, and the exact steps to ...

Mid-career workers are facing real anxiety about AI. Tackling that by upskilling has been a painful but rewarding process, says Liang Kaixin.

Web scraping tools gather a website's pertinent information for you to peruse or download. Learn how to create your own web ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

See 10 good vs bad ChatGPT prompts for 2026, with examples showing how context, roles, constraints, and format produce useful answers.

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

A customer managed to talk an automated system into a massive price cut, raising fresh questions about how far companies ...