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Will 5G Change the World? Telco AI LLMs with AWS, Dell, e& and Rakuten

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Manage episode 427937758 series 85580
Content provided by RCR Wireless News. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by RCR Wireless News 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.
In this special episode of Will 5G Change the World, presented in partnership with NETSCOUT, we dive into the world of telco AI. As operators develop and implement long-term AI strategies, supporting it all are foundation models, specifically large language models. This episode, featuring telco AI experts from AWS, Dell Technologies, e& and Rakuten Mobile, examines how operators can align outcomes with the underlying foundation models, and whether they can fine tune existing models or whether it's necessary to develop LLMs specific to the telecoms sector.
  continue reading

409 episodes

Artwork
iconShare
 
Manage episode 427937758 series 85580
Content provided by RCR Wireless News. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by RCR Wireless News 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.
In this special episode of Will 5G Change the World, presented in partnership with NETSCOUT, we dive into the world of telco AI. As operators develop and implement long-term AI strategies, supporting it all are foundation models, specifically large language models. This episode, featuring telco AI experts from AWS, Dell Technologies, e& and Rakuten Mobile, examines how operators can align outcomes with the underlying foundation models, and whether they can fine tune existing models or whether it's necessary to develop LLMs specific to the telecoms sector.
  continue reading

409 episodes

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