Public and Private Large Language Models: How to Apply Public LLMs to Enterprise Data
Attention-grabbing headlines and often confusing conversations about generative AI, ChatGPT, and large language models are just about everywhere you look these days. But what are the implications of using a public language model – like ChatGPT – in an enterprise setting? What should companies and their leaders be doing to adopt this fast-evolving, and often misunderstood, technology in a cost-effective, scalable, and secure way?
Recently, Cresta launched Ocean-1, the world’s first foundation model designed specifically for contact centers. Join Cresta Co-Founder, Tim Shi, Cresta CMO, Scott Kolman and John Donovan, former CEO of AT&T Communications, for a webinar on how public language models and private custom data models differ, coexist, and transform the enterprise.
Register now to watch this webinar on-demand and to learn more about the following topics:
- Common misconceptions and assumptions about large language models
- How enterprise data is used to train models and the impact across the organization
- How to integrate models like ChatGPT with private data directly through retrieval systems