Chapter
The Challenges of Deep Learning and Active Learning in Alexa
1:22:40 - 1:32:36 (09:55)
The process of building skills through Alexa Skill Skip, which is a self-serve way of building experience on Alexa, requires tools that ensure skill quality. The challenges of making sure that the quality is high, especially when considering emotions, calls for nuggets of research like zero-shot learning or one-shot learning.
Clips
Amazon Alexa has built a deep learning-based capability to offer more natural interactions.
1:22:40 - 1:25:54 (03:13)
Summary
Amazon Alexa has built a deep learning-based capability to offer more natural interactions. The virtual assistant can now infer skill selection based on user preferences and memorise key information to make requesting certain information easier.
ChapterThe Challenges of Deep Learning and Active Learning in Alexa
EpisodeRohit Prasad: Amazon Alexa and Conversational AI
PodcastLex Fridman Podcast
Building high-quality Alexa skills is a challenge, as the stakes are high to ensure customers don't get frustrated quickly.
1:25:55 - 1:27:52 (01:56)
Summary
Building high-quality Alexa skills is a challenge, as the stakes are high to ensure customers don't get frustrated quickly. Amazon's responsibility lies in determining the best skill or service to fulfill a customer's request when it's not specific.
ChapterThe Challenges of Deep Learning and Active Learning in Alexa
EpisodeRohit Prasad: Amazon Alexa and Conversational AI
PodcastLex Fridman Podcast
The integration of deep learning with transfer learning and active learning is becoming more popular, with research focusing on learning with less data and zero-shot learning.
1:27:52 - 1:32:36 (04:44)
Summary
The integration of deep learning with transfer learning and active learning is becoming more popular, with research focusing on learning with less data and zero-shot learning. In the future, it may be possible for voice assistants like Alexa to use visual cues to improve their understanding of user emotions and frustration.