Chapter
Using Gato to Compress Images for Efficient Neural Networks
36:54 - 42:25 (05:31)
The team behind Gato has developed a method for compressing images in a way that is more suitable for use in neural networks, allowing for more efficient data processing. However, the effectiveness of the system still has some room for further exploration and refinement.
Clips
This podcast discusses the significance of tokenization in neural networks, with specific emphasis on how scaling the idea up can help establish connections between words on the internet and playing Atari.
36:54 - 41:16 (04:21)
Neural Networks
Summary
This podcast discusses the significance of tokenization in neural networks, with specific emphasis on how scaling the idea up can help establish connections between words on the internet and playing Atari.
ChapterUsing Gato to Compress Images for Efficient Neural Networks
Episode#306 – Oriol Vinyals: Deep Learning and Artificial General Intelligence
PodcastLex Fridman Podcast
The podcast discusses the mapping of emojis and images to text sequences for natural language processing models.
41:16 - 42:25 (01:09)
Natural Language Processing
Summary
The podcast discusses the mapping of emojis and images to text sequences for natural language processing models. For images, they use compression techniques to create 16 by 16 patches of pixels that are then tokenized.