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Large Action Models (LAMs) & Rabbits 🐇 episode artwork

Jan 30, 2024 48 min

Large Action Models (LAMs) & Rabbits 🐇

from Practical AI Hosted by Daniel Whitenack and Chris Benson

Recently the release of the rabbit r1 device resulted in huge interest in both the device and “Large Action Models” (or LAMs). What is an LAM? Is this something new? Did these models come out of nowhere, or are they related to other things we are already using? Chris and Daniel dig into LAMs in this episode and discuss neuro-symbolic AI, AI tool usage, multimodal models, and more. Sponsors: Read Write Own – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at readwriteown.com Shopify – Sign up for a $1/month trial period at shopify.com/practicalai Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring: Chris Benson – Website, GitHub, LinkedIn, X Daniel Whitenack – Website, GitHub, X Show Notes: rabbit r1 Salesforce blog on LAMs LangChain tools MM-LLMs: Recent Advances in MultiModal Large Language Models Upcoming Events: Register for upcoming webinars here!

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Large Action Models (LAMs) & Rabbits 🐇

0:00 48:13

Chapters

  1. 0:06 Welcome to Practical AI
  2. 0:42 Daniel is in Atlanta?
  3. 1:49 Daniel's embarrassing moment
  4. 2:47 New AI devices
  5. 3:28 Where does privacy fit?
  6. 4:46 We've been giving data for years
  7. 6:59 Perception of humanity
  8. 9:26 A look at the rabbit r1
  9. 11:43 Why hardware?
  10. 13:31 Moving past our phones
  11. 14:46 Sponsor: Read Write Own
  12. 15:54 Explaining the LAM
  13. 20:28 Different inputs for models
  14. 23:09 Integrating external systems
  15. 26:06 Structuring an unstructured world
  16. 29:59 Sponsor: Shopify
  17. 32:34 Origins of LAMs
  18. 38:35 How instruments could be used as inputs
  19. 41:17 If this approach sticks
  20. 45:00 Predictions on LAMs
  21. 46:13 This has been fun!
  22. 47:27 Outro

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This episode was published on January 30, 2024.

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