Chapter
The Statistical First Approach for Developing Alexa
1:05:42 - 1:12:19 (06:37)
The co-founder of Alexa, Rohit Prasad, discusses how the AI assistant was developed using a statistical first approach, including entity recognition and intent classification, and the challenges of incorporating multiple domains and skills.
Clips
The development of Alexa's language understanding from rule-based systems to statistical-based systems that include entity recognizers and intent classifiers, and the challenges of understanding multiple domains.
1:05:42 - 1:09:57 (04:14)
Summary
The development of Alexa's language understanding from rule-based systems to statistical-based systems that include entity recognizers and intent classifiers, and the challenges of understanding multiple domains.
ChapterThe Statistical First Approach for Developing Alexa
EpisodeRohit Prasad: Amazon Alexa and Conversational AI
PodcastLex Fridman Podcast
The function of voice recognition systems is being able to understand and interpret human speech, but obstacles can arise when misinterpretations occur.
1:09:57 - 1:11:29 (01:32)
Summary
The function of voice recognition systems is being able to understand and interpret human speech, but obstacles can arise when misinterpretations occur. These may include matching incorrect entities or not having the required information to correctly process an inquiry.
ChapterThe Statistical First Approach for Developing Alexa
EpisodeRohit Prasad: Amazon Alexa and Conversational AI
PodcastLex Fridman Podcast
The Alexa team started with 13 big domains, such as music, and now has over 90,000 skills available to users on the platform.
1:11:29 - 1:12:19 (00:50)
Summary
The Alexa team started with 13 big domains, such as music, and now has over 90,000 skills available to users on the platform.