AI developers are rapidly picking the Internet clean to train large language models such as those behind ChatGPT. Here’s how they are trying to get around the problem.

Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...

Training AI models might not need enormous data centres Eventually, models could be trained without any dedicated hardware at all ...

This article explores how harnessing big data and analytics can radically transform traditional business models, enabling companies to adapt to evolving markets.

Just a few weeks after OpenAI said it would adopt rival Anthropic’s standard for connecting AI models to the systems where data resides, Google is following suit.