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Building a Local Large Language Model (LLM)

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Content provided by Rob O'Connor. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rob O'Connor 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://ro.player.fm/legal.

Another #ComputingWeek talk turned into a podcast! Two Red Hat software engineers, both recent graduates of SETU, returned to discuss the issues surrounding running your own LLM on a local machine, how models and datasets are built and reduced (quantised) so as to run on a laptop rather than an array of servers. Mark Campbell and Dimitri Saradkis provided excellent insight on the technical issues surround this topic, before getting into some of the ethical and moral issues with host Rob O'Connor at the end.

You can connect with all the people on this podcast on LinkedIn at:

Here are links to some of the tools referenced in the podcast:

  continue reading

59 episoade

Artwork
iconDistribuie
 
Manage episode 400054778 series 3086967
Content provided by Rob O'Connor. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rob O'Connor 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://ro.player.fm/legal.

Another #ComputingWeek talk turned into a podcast! Two Red Hat software engineers, both recent graduates of SETU, returned to discuss the issues surrounding running your own LLM on a local machine, how models and datasets are built and reduced (quantised) so as to run on a laptop rather than an array of servers. Mark Campbell and Dimitri Saradkis provided excellent insight on the technical issues surround this topic, before getting into some of the ethical and moral issues with host Rob O'Connor at the end.

You can connect with all the people on this podcast on LinkedIn at:

Here are links to some of the tools referenced in the podcast:

  continue reading

59 episoade

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