Patterns and Middleware for LLM Applications with Kyle Roche

EPISODE 659
|
DECEMBER 11, 2023
Watch
Play
Don't Miss an Episode!  Join our mailing list for episode summaries and other updates.

About this Episode

Today we’re joined by Kyle Roche, founder and CEO of Griptape to discuss patterns and middleware for LLM applications. We dive into the emerging patterns for developing LLM applications, such as off prompt data—which allows data retrieval without compromising the chain of thought within language models—and pipelines, which are sequential tasks that are given to LLMs that can involve different models for each task or step in the pipeline. We also explore Griptape, an open-source, Python-based middleware stack that aims to securely connect LLM applications to an organization’s internal and external data systems. We discuss the abstractions it offers, including drivers, memory management, rule sets, DAG-based workflows, and a prompt stack. Additionally, we touch on common customer concerns such as privacy, retraining, and sovereignty issues, and several use cases that leverage role-based retrieval methods to optimize human augmentation tasks.

About the Guest

Kyle Roche

Griptape

Connect with Kyle

Resources

Related Topics