Data synthesis for SOTA LLMs
· 47 min · Episode 255
Episode Data synthesis for SOTA LLMs
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!
Links in the notes 14
- https://readwriteown.com/?utm_source=changelog&utm_medium=practicalai&utm_campaign=changelog
- https://fly.io/changelog
- https://fly.io/docs/speedrun/
- https://www.linkedin.com/in/karan-s-malhotra
- https://chrisbenson.com
- https://github.com/chrisbenson
- https://www.linkedin.com/in/chrisbenson
- https://x.com/chrisbenson
- https://www.datadan.io/
- https://github.com/dwhitena
- https://x.com/dwhitena
- https://huggingface.co/NousResearch
- https://nousresearch.com/
- https://practicalai.fm/webinars
Chapters
Shows are listed from Apple Podcasts' charts and directory, and Podcast Index where it is used. Every show and episode belongs to its publisher and plays from the publisher's own feed; this site hosts none of them. Explicit shows are for adult profiles only, and children’s profiles hear only children’s shows. More about this list.