
Bernease Herman
@bernease
Data sci at WhyLabs, UW eScience Institute, UW iSchool PhD student. Robust eval, responsible ML/AI, synthetic data, & model monitoring over time.
ID: 66537123
http://www.whylabs.ai 18-08-2009 00:18:55
670 Tweet
854 Followers
615 Following


I propose that we adopt the term "Large Self-Supervised Models (LSSMs)" as a replacement for "Foundation Models" and "LLMs". "LLMs" don't capture non-linguistic data and "Foundation Models" is too grandiose. Thoughts? Percy Liang



I bought a pair of Vessi đź’§ a few months back in order to test their suitability in Seattle weather. I can't tell you about the waterproof ability of the shoes, but somehow every time I wear them, the rain clears up. So a win for me.

Join Alessya Visnjic's tech talk at #DevFestSEA22 on #MLObservability, including different approaches to instrumenting models and pipelines, collecting actionable telemetry, and catching model failures! Get your free ticket here: bit.ly/3TIdTln 👉 Saturday, 11/19 @ 10AM






Study reveals the optimal time to work out to live longer nypost.com/2023/02/23/stu… via New York Post




O’Reilly's AI Superstream is happening NOW! Discover the untapped potential of data-centric AI with expert-led sessions including Bernease Herman’s talk on #LLM Observability at 11:05 am PDT! Sign up for a free trial to access the event: bit.ly/467mmoK

New short course! Quality and Safety for LLM Applications, created with WhyLabs (an AI Fund portfolio company) and taught by Bernease Herman, shows how you can mitigate hallucinations, data leakage, and jailbreaks. Come learn more in the course, available now! deeplearning.ai/short-courses/…



Want to compare data-centric and model-centric approaches for production AI? On Monday at 9am, Alessya Visnjic and I from WhyLabs will be presenting an O'Reilly Media course on just that topic. We've also added a look at LLMs. oreilly.com/live-events/ap…