Data synthesis for SOTA LLMs
from Practical AI Hosted by Daniel Whitenack and Chris Benson
Nous Research has been pumping out some of the best open access LLMs using SOTA data synthesis techniques. Their Hermes family of models is incredibly popular! In this episode, Karan from Nous talks about the origins of Nous as a distributed collective of LLM researchers. We also get into fine-tuning strategies and why data synthesis works so well. 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 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: Karan Malhotra – LinkedIn Chris Benson – Website, GitHub, LinkedIn, X Daniel Whitenack – Website, GitHub, X Show Notes: Nous on Hugging Face Nous Research Upcoming Events: Register for upcoming webinars here!
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Chapters
- 0:00 Welcome to Practical AI (Dance Party!)
- 0:43 Karan Malhotra
- 1:56 Origins of Nous Research
- 10:24 What is synthetic data
- 16:47 Effects of model licensing
- 22:23 Map of Nous
- 26:44 How is Nous organized?
- 30:40 Sponsor: Read Write Own
- 31:48 Fine Tuning advice
- 34:59 Stuff to look for
- 40:45 What's next?
- 45:02 Thank you!
- 45:59 Outro (Dance Party!)
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