Large language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and complexity typically require powerful servers and cloud infrastructure. Running ...

Meta's (NASDAQ:META) latest large language model, Llama 3.2, was released today with mini versions available, allowing them to fit on edge and mobile devices, the social media giant revealed today at ...

Most artificial intelligence applications make a call to a server to access a large language model. That can be slow and ...

The release marks a significant strategic pivot for Google DeepMind and the Google AI Developers team. While the industry ...

In a major advancement for AI model evaluation, the Institute of Artificial Intelligence of China Telecom (TeleAI) has ...

The ability to run large language models (LLMs), such as Deepseek, directly on mobile devices is reshaping the AI landscape. By allowing local inference, you can minimize reliance on cloud ...

Google's Gemini AI revives 750M smart home devices, creating a subscription-driven catalyst investors are underestimating.

Running massive AI models locally on smartphones or laptops may be possible after a new compression algorithm trims down their size — meaning your data never leaves your device. The catch is that it ...

Experts repeatedly point to privacy and security as key advantages of on-device AI. In a cloud situation, data is flying every which way and faces more moments of vulnerability. If it remains on an ...

Large language models (LLMs) are all the rage in the generative AI world these days, with the truly large ones like GPT, LLaMA, and others using tens or even hundreds of billions of parameters to ...