Observability for Large Language Models
English | 2024 | ISBN: 9781098159757 | 32 Pages | EPUB | 4 MB
English | 2024 | ISBN: 9781098159757 | 32 Pages | EPUB | 4 MB
An initial release of a large language model (LLM) makes for a nice marketing moment, but value lies in the work you do to make something a true "1.0"-level product experience. In this report, Phillip Carter, who spearheads AI initiatives at Honeycomb, provides an introduction to using observability tools and practices that will help you improve modern LLM and AI products after they've been released.