By KIM BELLARD
Exciting times are ahead with the rise of TinyAI, a technology that is gaining more attention in the AI world. TinyAI, also known as Tiny ML or Edge AI, is a compact form of artificial intelligence that can operate on small devices. This shift from large AI models to edge computing opens up new possibilities for real-time processing, reduced latency, and enhanced privacy.
TinyAI models such as Gemma 2 2B, GPT-4o mini, xLAM-1B, Phi-3 Mini, and Danube 2 are already making waves in the industry. These models, despite their billions of parameters, are designed to be efficient and effective on edge devices.
The TinyML Foundation is leading the way in promoting low-power AI at the edge of the cloud. As concerns grow about the environmental impact of AI, TinyAI offers a sustainable solution by shifting processing power to edge devices.
In healthcare, TinyAI has the potential to revolutionize patient monitoring, assist in drug delivery through nanorobots, and transform various aspects of healthcare technology. The possibilities are endless, and the future of TinyAI in healthcare looks promising.
As we explore the capabilities of TinyAI, we will uncover even more ways to harness its power in various industries. The future of AI may be tiny, but its impact is bound to be mighty.
Kim is a former marketing executive, editor, and regular contributor to The Health Care Blog.
