Understanding Tokenization in Deep Learning

Oriol Vinyals is the Research Director and Deep Learning Lead at DeepMind. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
Oriol’s Twitter: https://twitter.com/oriolvinyalsml
Oriol’s publications: https://scholar.google.com/citations?user=NkzyCvUAAAAJ
DeepMind’s Twitter: https://twitter.com/DeepMind
DeepMind’s Instagram: https://instagram.com/deepmind
DeepMind’s Website: https://deepmind.com
Papers:
1. Gato: https://deepmind.com/publications/a-generalist-agent
2. Flamingo: https://deepmind.com/blog/tackling-multiple-tasks-with-a-single-visual-language-model
3. Language Models are Few-Shot Learners: https://arxiv.org/abs/2005.14165
4. Emergent Abilities of Large Language Models: https://arxiv.org/abs/2206.07682
5. Attention Is All You Need: https://proceedings.neurips.cc/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf

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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:18) – AI
(20:14) – Weights
(26:33) – Gato
(1:01:22) – Meta learning
(1:15:21) – Neural networks
(1:37:46) – Emergence
(1:44:30) – AI sentience
(2:08:27) – AGI