Alexa is implementing self-learning techniques to better understand users

In a developer blog post published, #Alexa #AI director Ruhi Sarikaya detailed the advances in machine learning technologies that have allowed #Alexa to better understand users through contextual clues. [Read More]

Summary… * Machine-Made


In a developer blog post published today, #Alexa #AI director of applied science Ruhi Sarikaya detailed the advances in machine learning technologies that have allowed #Alexa to better understand users through contextual clues.
According to Sarikaya, these improvements have played a role in reducing user friction and making #Alexa more conversational.
Since this fall, #Amazon has been working on self-learning techniques that teach #Alexa to automatically recover from its own errors.
There’s also the ability to perform name-free skill interaction, which guides customers toward #Alexa skills through a more natural process.
You can say, “#Alexa, get me a car,” and the voice assistant will understand the command without making you specify the name of your ride-sharing service.

Opinion… * Man-Made


#Amazon is reducing user friction and making #Alexa more conversational; using advances in Machine Learning that allow Alexa to better understand users through contextual clues. #AI #ML #Context #SmartSpeaker #Trend

Source: The Verge