Indian AI startups, have been using open-weight models to build enterprise AI applications for some time. Mint explains why.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Open-Source AI Tools while not widely publicized, are highly regarded within the developer community for their ability to simplify complex tasks ...

OpenAI API costs can spiral when agents run wild. Here's how to set spend limits, enable hard caps, and avoid surprise AI ...

If you're considering PuppeteerSharp for PDF generation, here's the version of the story that doesn't show up in the "getting started" docs.

"If we improve the code and we can all benefit from it, it's good for everyone," says Fenris's Ben Hunter, as he talks ...

The Linux Foundation's newest project takes a proven enterprise data sharing protocol and stretches it across AI models, ...

Cequence Security, the leader in application, API, and agentic AI protection, today announced general availability of Cequence Platform 9.0, an AI-native release that fundamentally changes how users ...

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

Fuel data that used to live only in RoadFlex can now flow into a fuel management system, an expense dashboard or a finance system.

The federal regulation of open banking in the United States has been in an extraordinary state of limbo. The Consumer Financial Protection ...

AI API Gateway that connects developers to more than 200 AI models through a single OpenAI-compatible endpoint. The platform removes the integration overhead traditionally associated with working ...