Patrick Deziel
Patrick Deziel is a Python and Go developer and machine learning specialist. He has extensive experience building practical machine learning models and integrating them into existing applications. Patrick currently works at Rotational Labs where he develops custom LLMs and AI/ML-powered APIs for business use cases. In his free time, he enjoys rock climbing and contributing to open source.
Sessions
Many organizations are eager to build and deploy their own large language models (LLMs), but validating them can feel frustrating and incomplete. Fortunately, as data scientists we are experts in model diagnostics, and we can extend these same principles to LLM validation. In this talk, I will present a scientific approach to evaluating custom text generation models in Python across several dimensions such as safety, coherence, and correctness.