"My dad's work with speech recognition and synthesis was the foundation for what I do today with generative AI. Everything I've built here has the same foundation he was working on: convolutional neural networks, which enable computers to process inputs like images and sound."
"As a child, I was pretty much in my dad's office almost every day after school, and I remember watching him and his colleagues have heated discussions and draw crazy diagrams on the whiteboard. That inspired me to start drawing my own decision trees and whatnot that were super nonsensical, but the experience taught me how to be creative and analytical."
"One side project my dad and I worked on together was called Dr Bot, which was an early iteration of a large language model that could assess your symptoms and tell you where to seek care."
"What I do with AI agents really boils down to a bunch of decision trees that reason through how to get from point A to point B. There's a lot of human interaction that's increasingly important in the building of AI technologies."
Natalie Gilbert, a data scientist at AT&T, credits her father's work in speech recognition as the foundation for her career in generative AI. Growing up in her father's office, she was inspired by his discussions and projects, including an early language model called Dr Bot. Her work involves decision trees that guide AI agents, emphasizing the importance of human interaction in technology development. The evolution of foundational technologies has enabled advancements in AI autonomy and functionality.
Read at www.businessinsider.com
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