Let’s delve into the technical aspects, challenges, and benefits of deploying language models on edge/IoT devices.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. From IoT and robotics to industrial automation and smart devices, AI is fundamentally ...

According to the company, Liquid Nanos deliver performance that rivals far larger models on specialized, agentic workflows ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The AI landscape is taking a dramatic turn, as small language and multimodal models are ...

Meta’s latest release of the Llama 3.2 model marks a significant advancement in AI, particularly in edge computing and on-device AI. Llama 3.2 brings powerful generative AI capabilities to mobile ...

Large language models are powerful, but generally they require vast computing resources, which means they typically have to run on stacks of high-end GPUs in data centers. Now, startup Multiverse ...

Artificial intelligence (AI) is expanding rapidly to the edge. This generalization conceals many more specific advances—many kinds of applications, with different processing and memory requirements, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Mistral AI, a rising star in the artificial intelligence arena, launched ...