Chapter
The Process of Improving Machine Learning Components for Question Answering
1:18:21 - 1:25:16 (06:55)
Researchers follow a gradual process of building different components, plugging them into the architecture, and then evaluating and improving the end-to-end performance of a machine learning system for question answering.
Clips
This transcript discusses the process of building machine learning components to improve question answering performance and the importance of showing end to end impact on the system.
1:18:21 - 1:21:59 (03:38)
Machine Learning
Summary
This transcript discusses the process of building machine learning components to improve question answering performance and the importance of showing end to end impact on the system.
ChapterThe Process of Improving Machine Learning Components for Question Answering
EpisodeDavid Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI
PodcastLex Fridman Podcast
The success of natural language understanding in AI is not solely based on winning a game, but rather understanding how humans process language.
1:21:59 - 1:25:16 (03:16)
AI research
Summary
The success of natural language understanding in AI is not solely based on winning a game, but rather understanding how humans process language. Some individuals working in AI research are dedicated to exploring this aspect of the technology.