Custom Foundation Models episode artwork

EPISODE · Apr 13, 2023 · 38 MIN

Custom Foundation Models

from The Data Exchange with Ben Lorica · host Ben Lorica

Hagay Lupesko, is VP Engineering at MosaicML, a startup that enables teams to easily train large AI models on their data and in their own secure environment. We discuss the the evolution of cloud based machine learning (from “traditional” ML through LLMs), his experience building machine learning applications at leading technology companies, and the need for companies to build their own custom foundation models.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

Episode metadata supplied by the publisher feed · Published Apr 13, 2023

Embed this episode

Hagay Lupesko, is VP Engineering at MosaicML, a startup that enables teams to easily train large AI models on their data and in their own secure environment. We discuss the the evolution of cloud based machine learning (from “traditional” ML through LLMs), his experience building machine learning applications at leading technology companies, and the need for companies to build their own custom foundation models. Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.c...

Distinct summary based on available episode metadata or transcript content.

NOW PLAYING

Custom Foundation Models

0:00 38:06

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of The Data Exchange with Ben Lorica?

This episode is 38 minutes long.

When was this The Data Exchange with Ben Lorica episode published?

This episode was published on April 13, 2023.

Can I download this The Data Exchange with Ben Lorica episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!