Chapter
The Future of Active Learning
1:04:16 - 1:09:38 (05:22)
Active learning is a capability that naturally arises as problems that require it to pop up, especially when it comes to the optimization of selecting relevant data.
Clips
The increasing reliance on translation in the digital age and the potential economic impact it may have, as well as the significant potential of self-driving AI technology and the difficulty in distinguishing its progress for those outside the field of AI.
1:04:16 - 1:05:48 (01:32)
Summary
The increasing reliance on translation in the digital age and the potential economic impact it may have, as well as the significant potential of self-driving AI technology and the difficulty in distinguishing its progress for those outside the field of AI.
ChapterThe Future of Active Learning
Episode#94 – Ilya Sutskever: Deep Learning
PodcastLex Fridman Podcast
The potential for larger versions of GPT-2 and the unification of language and vision tasks through multitask transformers are some of the future directions for GPT-2 language models.
1:05:48 - 1:07:00 (01:12)
Summary
The potential for larger versions of GPT-2 and the unification of language and vision tasks through multitask transformers are some of the future directions for GPT-2 language models.
ChapterThe Future of Active Learning
Episode#94 – Ilya Sutskever: Deep Learning
PodcastLex Fridman Podcast
The optimization of how data is selected through active learning could lead to many breakthroughs in the near future.
1:07:01 - 1:09:38 (02:37)
Summary
The optimization of how data is selected through active learning could lead to many breakthroughs in the near future. Problems that require active learning will naturally arise and it will be a very nice capability to have.