Organizations seeking to integrate digital-first practices into their engineering processes often rapidly discover a common roadblock: critical dependencies on the individual expertise of specific employees embedded in legacy workflows. Discovering this issue has prompted some to ask what role might generative technologies play in supporting digital engineering transformation efforts: “Can they help us reduce reliance […]

In my ongoing efforts to deeply engage with research into large language models, I have continually wrestled with and confronted a persistent sense of dissatisfaction. Unfortunately, the source of my dissatisfaction has also been frustratingly difficult to articulate and to pin down.  At times, I have wondered if I’m not dissatisfied but rather uneasy because […]

The latest installment of our ongoing “AI and Trust” series comes in the form of a tech talk given by Galois Principal Scientist Shauna Sweet on March 6, 2023. In her presentation, Sweet helps us dig deeper to uncover the core ideas, concepts, and principles behind large language models (LLMs), tackling such central questions as: […]