Rapidly Scaling Applied AI/ML with Foundational Models and Applying Them to Modern AI/ML Use Cases

Today many of us are familiar with foundational models such as LLM/ChatGPT. However, there are many more enterprise foundational models that can be rapidly deployed, trained and applied to enterprise use cases. This approach dramatically increases the performance of AI/ML models in production, but also gives AI teams rapid roadmaps for efficiency and delivering value to the business. Databricks provides the ideal toolset to enable this approach.

In this session, we will provide a logically overview of foundational models available today, demonstrate a real-world use case, and provide a business framework for data scientists and business leaders to collaborate to rapidly deploy these use cases.

Talk by: Nick King