Essentials of Deploying Large Language Models in the Enterprise - with Anton Kornienko and Ben Webster of NLP Logix episode artwork

EPISODE · Mar 20, 2024 · 19 MIN

Essentials of Deploying Large Language Models in the Enterprise - with Anton Kornienko and Ben Webster of NLP Logix

from The AI in Business Podcast

Today's guests are Anton Kornienko and Ben Webster of NLP Logix, where Anton serves as Data Science Platform Architect and Ben serves as Modeling and Analytics Team Lead. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. Ben and Anton join us on today's program to offer Emerj's executive podcast audience advice on the essentials of turning large language models into business value. Throughout the episode, the pair underscore what they see as the biggest misconceptions about LLMs in the media hype cycle and how leaders can find a balance between foundational and bespoke models for different workflows. This episode is sponsored by NLP Logix. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

NOW PLAYING

Essentials of Deploying Large Language Models in the Enterprise - with Anton Kornienko and Ben Webster of NLP Logix

0:00 19:35

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 AI in Business Podcast?

This episode is 19 minutes long.

When was this The AI in Business Podcast episode published?

This episode was published on March 20, 2024.

What is this episode about?

Today's guests are Anton Kornienko and Ben Webster of NLP Logix, where Anton serves as Data Science Platform Architect and Ben serves as Modeling and Analytics Team Lead. NLP Logix is a fast-growing AI services firm based in Florida that serves both...

Can I download this The AI in Business Podcast 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!