DBRX and the Future of Open LLMs episode artwork

EPISODE · Apr 25, 2024 · 45 MIN

DBRX and the Future of Open LLMs

from The Data Exchange with Ben Lorica · host Ben Lorica

In this episode, Hagay Lupesko, Senior Director of Engineering at Databricks MosaicAI, delves into the creation and aspirations behind DBRX, an innovative open Large Language Model (LLM) designed to bridge the gap between quality and cost-effectiveness for AI applications.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

In this episode, Hagay Lupesko, Senior Director of Engineering at Databricks MosaicAI, delves into the creation and aspirations behind DBRX, an innovative open Large Language Model (LLM) designed to bridge the gap between quality and cost-effectiveness for AI applications. Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/ Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon • RSS. Detailed show notes can be foun...

NOW PLAYING

DBRX and the Future of Open LLMs

0:00 45:45

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.

Frequently Asked Questions

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

This episode is 45 minutes long.

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

This episode was published on April 25, 2024.

What is this episode about?

In this episode, Hagay Lupesko, Senior Director of Engineering at Databricks MosaicAI, delves into the creation and aspirations behind DBRX, an innovative open Large Language Model (LLM) designed to bridge the gap between quality and...

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

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!