In this episode, Stefan Webb (developer advocate at Zilliz) interviews Cameron Pfiffer from .txt, discussing the intersection of generative AI, developer advocacy, and structured output. Cameron shares his journey into the field, the mission of .txt, and the importance of constrained sampling in AI development. The conversation explores the functionalities of Outlines, a tool designed to enhance structured output, and its future developments. Additionally, they discuss the integration of vector databases with constrained output and how listeners can engage with the community and resources available.

To learn more about working with unstructured data, visit zilliz.com and ⁠milvus.io.