Topic
6 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
Undated
Kapireddy's group at Truist is responsible for AI strategy and policy, data science platforms, and developing advanced machine learning and generative AI applications.
“The third bucket is really developing advanced machine learning and gen AI capabilities, including the applications themselves.”
Undated
Kapireddy says a single generative model can summarize text, extract entities and assess sentiment, tasks that previously needed separate models.
“Maybe you want to summarize the text, maybe you wanted to extract entities out of the text, maybe you want to get the sentiment of the text.”
Undated
Kapireddy says no financial-services use case lets generative AI make customer-affecting decisions without a human in the loop.
“I don't think there is any use case that is actually a customer facing affecting the decisions that we would make without human in the loop as an industry.”
Undated
Kapireddy says generative AI is a favored tool for attackers, making fake voices and fake invoices more sophisticated.
“Gen AI is definitely most favorable tool for folks who really want to take advantage of it to increase their attacks, right?”
Undated
Kapireddy describes retrieval-augmented generation (RAG) patterns, where relevant information is retrieved and added to the prompt before the language model is called.
“you obviously contextualize it by extracting information relevant to the prompt, and then you send it to LLM, including making API calls to get more deterministic answers”
Undated
Kapireddy says he once weighed film-direction training in India against a US master's degree and chose the US because of database management.
“I think when I was in India, I was contemplating to either to come to United States to do my master's”
Episodes