Transformers: One Model to Rule them All (The Technium Podcast S02 E08)

The Technium

Transformers are a building block of Machine Learning systems that have seen great success recently at subsuming all other techniques.

We discuss at a high level, its attention mechanism and its multimodal properties, and the types of applications this can be put to use now and in the future.

Links/Resources:

• Introductions to transformers
  • https://www.machinecurve.com/index.php/2020/12/28/introduction-to-transformers-in-machine-learning/
  • https://deeplobe.ai/machine-learning-for-transformers-explained-with-language-translation/
  • https://www.youtube.com/watch?v=yGTUuEx3GkA
• Attention is All you Need https://arxiv.org/pdf/1706.03762.pdf
• Attention: https://distill.pub/2016/augmented-rnns/
• Transformers replacing CNNs https://becominghuman.ai/transformers-in-vision-e2e87b739feb
• AI models consolidating https://twitter.com/karpathy/status/1468370605229547522?ref_src=twsrc^tfw
• GTP implementation https://github.com/karpathy/minGPT/blob/master/mingpt/model.py
• Google introduces new arch to reduce cost of transformers https://analyticsindiamag.com/google-introduces-new-architecture-to-reduce-cost-of-transformers/
• LaMDA by Google https://gpt3demo.com/apps/lamda-google

Chapters:

0:00 Intros
1:57 What are Transformers?
4:59 How does it work at a high level?
9:27 Self Attention Mechanism
14:03 Input structure agnostic
16:59 Stack it high, pump it with data
25:28 More MultiModal Learning
27:22 The Narrow Waist
34:34 Transformers for Compilation
40:24 Specialized Hardware
43:52 Multimodal Applications
47:19 Generating Media as a Self-sustaining Entity
52:42 The Jobs this Destroys
58:02 Two machines need to talk to each other
1:04:42 A Young Lady's Primer
1:11:19 Try them out!

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The Technium is a weekly podcast discussing the edge of technology and what we can build with it. Each week, Sri and Wil introduce a big idea in the future of computing and extrapolate the effect it will have on the world.

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