Part 3/8:
The advent of model distillation technology, which allows for compressing larger models into more manageable sizes without sacrificing performance, further supports this movement. As the infrastructure and device compute power catch up, the setup for promoting these smaller models seems optimal.
Why On-Device Models Are Necessary
The question remains: why should companies invest in the development and deployment of these on-device models? There are several compelling advantages:
- Improved User Experience: Applications today demand speed and efficiency. Users expect real-time interactions, whether they're chatting with a conversational AI or applying filters to images on social media. By processing information on-device, latency is reduced, leading to seamless user experiences.