Patent ID: 10847135

Abstract:
Embodiments described herein are generally directed towards systems and methods relating to a crowd-sourced digital assistant system and related methods. In particular, embodiments facilitate techniques to crowdsource the training of a language model of the crowd-sourced digital assistant system. The digital assistant device can generate new action datasets based on manual inputs detected by the digital assistant device. The manual inputs can be recorded as a set of instructions, which can be interpreted by another digital assistant device to reproduce the detected manual inputs based on a command received by the other digital assistant device. The digital assistant server can receive action datasets, maintain action datasets, and distribute action datasets to one or more digital assistant devices. In various embodiments, the digital assistant device or server can also determine whether received action datasets are related. Each digital assistant device in the described system can participate in the training of a language model that establishes relationships between action datasets and/or command templates based on user feedback received via the digital assistant device.