Todd Underwood
Generative AI is one of the most hyped technologies in most of our careers. While it is driving a complete transformation of priorities some tech organizations many engineers remain deeply skeptical about any practical uses of Generative AI.
The skepticism is warranted and the hype is (for now) exaggerated, but not completely without merit. These technologies are not entirely useless for the kind of work we do. In this talk I will highlight a few emerging use cases that sidestep some of the weaknesses of GenAI (hallucination, errors), and still manage to provide value, specifically for production engineering.
Todd Underwood[node:field-speakers-institution]
Todd Underwood recently lead reliability for the Research Platform at Open AI. Previously he was a Senior Engineering Director at Google leading ML capacity engineering in the office of the CFO at Alphabet. Before that, he founded and led ML Site Reliability Engineering and was the Site Lead for Google’s Pittsburgh office. He co-wrote "Reliable Machine Learning: Applying SRE Principles to ML in Production" (O’Reilly Press, 2022).
author = {Todd Underwood},
title = {Generative {AI}: Beyond (Just) Hype},
year = {2024},
address = {Dublin},
publisher = {USENIX Association},
month = oct
}
