The race to release world models is on as AI image and video generation company Runway joins an increasing number of startups and Big Tech companies by launching its first one. Dubbed GWM-1, the model ...

OpenAI has sent out emails notifying API customers that its chatgpt-4o-latest model will be retired from the developer platform in mid-February 2026,. Access to the model is scheduled to end on ...

Notably, the Files API charges $10 (roughly Rs. 885) per 1,000 tool invocations. Each time the model searches the documents, it counts as one tool invocation. These charges are applied in addition to ...

The mission was supported by the Royal Danish Air Force, underscoring Denmark’s contribution in the security of the Arctic, and Greenland’s role in the defense of North America. In the second such ...

Elon Musk’s X, formerly known as Twitter, has introduced a new pay-per-use API model in an attempt to rebuild its once-thriving developer ecosystem. The platform, which previously charged flat monthly ...

X has announced a new pay-per-use self-serve API model in hopes of luring developers back to the platform. Credit: Gabby Jones/Bloomberg via Getty Images Good news! Elon Musk's X has heard the cries ...

As expected after days of leaks and rumors online, Google has unveiled Veo 3.1, its latest AI video generation model, bringing a suite of creative and technical upgrades aimed at improving narrative ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook DeepSeek has launched and open-sourced DeepSeek-V3.2-Exp, an experimental large language model ...

Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...

Abstract: The deployment of multimodal large language models (MLLMs) on resource-constrained mobile devices poses significant challenges due to their high computational demands. This paper introduces ...