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Large Action Models (LAMs) & Rabbits đ
Manage episode 398386647 series 2385063
Recently the release of the rabbit r1 device resulted in huge interest in both the device and âLarge Action Modelsâ (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.
Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
- Read Write Own â Read, Write, Own: Building the Next Era of the Internetâa new book from entrepreneur and investor Chris Dixonâexplores one possible solution to the internetâs authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensateârather than cannibalizeâcreators. Itâs 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 â Sign up for a $1/month trial period at shopify.com/practicalai
- Fly.io â The home of Changelog.com â 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:
Show Notes:
- rabbit r1
- Salesforce blog on LAMs
- LangChain tools
- MM-LLMs: Recent Advances in MultiModal Large Language Models
Something missing or broken? PRs welcome!
Capitoli
1. Welcome to Practical AI (00:00:07)
2. Daniel is in Atlanta? (00:00:43)
3. Daniel's embarrassing moment (00:01:49)
4. New AI devices (00:02:48)
5. Where does privacy fit? (00:03:28)
6. We've been giving data for years (00:04:47)
7. Perception of humanity (00:06:59)
8. A look at the rabbit r1 (00:09:27)
9. Why hardware? (00:11:43)
10. Moving past our phones (00:13:32)
11. Sponsor: Read Write Own (00:14:46)
12. Explaining the LAM (00:15:54)
13. Different inputs for models (00:20:28)
14. Integrating external systems (00:23:10)
15. Structuring an unstructured world (00:26:06)
16. Sponsor: Shopify (00:29:59)
17. Origins of LAMs (00:32:35)
18. How instruments could be used as inputs (00:38:35)
19. If this approach sticks (00:41:18)
20. Predictions on LAMs (00:45:00)
21. This has been fun! (00:46:14)
22. Outro (00:47:27)
293 episodi
Manage episode 398386647 series 2385063
Recently the release of the rabbit r1 device resulted in huge interest in both the device and âLarge Action Modelsâ (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.
Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
- Read Write Own â Read, Write, Own: Building the Next Era of the Internetâa new book from entrepreneur and investor Chris Dixonâexplores one possible solution to the internetâs authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensateârather than cannibalizeâcreators. Itâs 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 â Sign up for a $1/month trial period at shopify.com/practicalai
- Fly.io â The home of Changelog.com â 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:
Show Notes:
- rabbit r1
- Salesforce blog on LAMs
- LangChain tools
- MM-LLMs: Recent Advances in MultiModal Large Language Models
Something missing or broken? PRs welcome!
Capitoli
1. Welcome to Practical AI (00:00:07)
2. Daniel is in Atlanta? (00:00:43)
3. Daniel's embarrassing moment (00:01:49)
4. New AI devices (00:02:48)
5. Where does privacy fit? (00:03:28)
6. We've been giving data for years (00:04:47)
7. Perception of humanity (00:06:59)
8. A look at the rabbit r1 (00:09:27)
9. Why hardware? (00:11:43)
10. Moving past our phones (00:13:32)
11. Sponsor: Read Write Own (00:14:46)
12. Explaining the LAM (00:15:54)
13. Different inputs for models (00:20:28)
14. Integrating external systems (00:23:10)
15. Structuring an unstructured world (00:26:06)
16. Sponsor: Shopify (00:29:59)
17. Origins of LAMs (00:32:35)
18. How instruments could be used as inputs (00:38:35)
19. If this approach sticks (00:41:18)
20. Predictions on LAMs (00:45:00)
21. This has been fun! (00:46:14)
22. Outro (00:47:27)
293 episodi
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