Industry Expert Blogs

Siri and OK Google were initially a fun introduction to the promise of voice-based control, but we soon realized how carefully we must craft requests to get a useful response. The level of understanding we now see in ChatGPT would be much easier to use, but that capability has been limited to text interaction with cloud-based apps until recently. Now the compelling promise of ChatGPT and the ubiquity of cell phones is propelling a trend to make transformer networks for a ChatGPT mobile a reality, extending the power of large language models to everyone with a phone.

An obvious challenge is that the ChatGPT we know depends on trillions of parameters. Transformer networks of this size can only run in the cloud. Some suggest a hybrid model where a phone or other app does some of the work, connecting to the cloud for heavier duty inferencing. However, a casual phone-based user may not appreciate the long latencies and privacy risks inherent in a hybrid solution. A better approach would allow for running most or all of the transformer network load directly on the phone, turning to the cloud only for occasional anonymized search requests if needed.

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