Building a Local Large Language Model (LLM)

The Machine: A computer science education podcast

Rob O'Connor द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Rob O'Connor या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।

11M ago 51:30

M4A•एपिसोड होम

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:

Mark Campbell https://www.linkedin.com/in/mark-campbell-76846b194/
Dimitri Saradakis https://www.linkedin.com/in/dimitri-saridakis-32a087139/
Rob O'Connor https://www.linkedin.com/in/robertoconnorirl/

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

Red Hat OpenShift AI https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai

60 एपिसोडस

#Tech #Rob OConnor