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Episode 26 - Subnet 31 Neural Architecture Search w/ Nima

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Manage episode 415297458 series 3562510
Content provided by Keith Singery. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Keith Singery or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Subnet 31 Neural Architecture Search has made a splash on Bittensor by becoming the first decentralized option for a service previously only available from big players at a high cost. Enterprises can now leverage Bittensor's network to optimize size and performance of smaller machine learning models. Nima, machine learning engineer and owner of S31, walks us through the subnet, the early successes and the development roadmap.

https://twitter.com/naschain_a

https://github.com/nimaaghli/NASChain

https://twitter.com/KeithSingery

https://taostats.io/validators/bittensor-guru-podcast/

  continue reading

34 episodes

Artwork
iconShare
 
Manage episode 415297458 series 3562510
Content provided by Keith Singery. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Keith Singery or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Subnet 31 Neural Architecture Search has made a splash on Bittensor by becoming the first decentralized option for a service previously only available from big players at a high cost. Enterprises can now leverage Bittensor's network to optimize size and performance of smaller machine learning models. Nima, machine learning engineer and owner of S31, walks us through the subnet, the early successes and the development roadmap.

https://twitter.com/naschain_a

https://github.com/nimaaghli/NASChain

https://twitter.com/KeithSingery

https://taostats.io/validators/bittensor-guru-podcast/

  continue reading

34 episodes

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