Chapter

The Alexa Prize Challenge for Conversational Artificial Intelligence
The Alexa Prize challenge was created to encourage university research teams to build a social bot that can engage in coherent and engaging conversation for 20 minutes. This challenge not only advances AI research but also provides a unique opportunity for academia to have access to resources like data and computing power that is typically available only in industry.
Clips
The Alexa Prize Competition presents a challenge to universities to build a social bot capable of coherent and engaging conversation for at least 20 minutes.
11:35 - 16:46 (05:11)
Summary
The Alexa Prize Competition presents a challenge to universities to build a social bot capable of coherent and engaging conversation for at least 20 minutes. The challenge of conversing with someone and maintaining engagement as the conversation naturally evolves is extremely difficult and requires further testing with interactors.
ChapterThe Alexa Prize Challenge for Conversational Artificial Intelligence
EpisodeRohit Prasad: Amazon Alexa and Conversational AI
PodcastLex Fridman Podcast
AI researchers are developing social bots that can demonstrate natural language abilities, personality attributes, and effective communication skills to have real customer benefits.
16:47 - 20:17 (03:29)
Summary
AI researchers are developing social bots that can demonstrate natural language abilities, personality attributes, and effective communication skills to have real customer benefits. The goal is to apply these AI advances to industry by providing access to more data, massive computing power, and ways to test AI advances with real customer benefits.
ChapterThe Alexa Prize Challenge for Conversational Artificial Intelligence
EpisodeRohit Prasad: Amazon Alexa and Conversational AI
PodcastLex Fridman Podcast
The success of Conversational AI depends not only on keyword-based recognition but also on understanding the context of the conversation to provide appropriate responses.
20:17 - 23:35 (03:17)
Summary
The success of Conversational AI depends not only on keyword-based recognition but also on understanding the context of the conversation to provide appropriate responses.