Chapter
Clips
Nearest neighbor is a classical concept in machine learning that involves computing the closest point in a dataset to classify a new point by measuring the distance between them.
1:10:18 - 1:13:23 (03:05)
Summary
Nearest neighbor is a classical concept in machine learning that involves computing the closest point in a dataset to classify a new point by measuring the distance between them. This approach has evolved into more complex methodologies, but the core idea remains relevant.
ChapterThe Power of Transformers in Machine Learning
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
Dr. Ayanna Howard discusses the future of AI and robotics, focusing on the importance of research and iteration in the field.
1:13:23 - 1:15:05 (01:42)
Summary
Dr. Ayanna Howard discusses the future of AI and robotics, focusing on the importance of research and iteration in the field. The conversation touches on the potential impact of AI and robotics on society and the need to consider ethical implications while pursuing technological advancements.
ChapterThe Power of Transformers in Machine Learning
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
The speaker discusses the significance of teamwork in scientific research and mentions the example of AlphaFold.
1:15:05 - 1:19:14 (04:08)
Summary
The speaker discusses the significance of teamwork in scientific research and mentions the example of AlphaFold.
ChapterThe Power of Transformers in Machine Learning
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
The transformer is a new and powerful sequence model that has built-in attention, allowing it to easily mimic the way humans process and predict next texts.
1:19:14 - 1:22:14 (03:00)
Summary
The transformer is a new and powerful sequence model that has built-in attention, allowing it to easily mimic the way humans process and predict next texts.
ChapterThe Power of Transformers in Machine Learning
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
Transformers are a powerful tool in natural language processing, and they operate by looking at all the text and attending over it to identify key words and concepts.
1:22:15 - 1:24:31 (02:16)
Summary
Transformers are a powerful tool in natural language processing, and they operate by looking at all the text and attending over it to identify key words and concepts. By creating two hypotheses and considering all aspects of the text, they can outperform more recency-bias-based models like recurrent networks.