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Feb. 16, 2024 / By V. “Juggy” Jagannathan, PhD
This week, I am looking at two articles, both bearing on the overall topic of future of digital health. Stanford Center for Digital Health I listened to a podcast […]
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Feb. 9, 2024 / By V. “Juggy” Jagannathan, PhD
The history of artificial intelligence (AI) is littered with the notion of agents. What exactly is an agent? I remember attending a workshop on distributed AI in Gloucester, Mass., in […]
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Jan. 29, 2024 / By Nathan Brake
This past fall, I became a father to my first child. She’s now about five months old, and my wife and I have spent a fair amount of time reading […]
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Dec. 15, 2023 / By V. “Juggy” Jagannathan, PhD
In this last blog for 2023, we take a tour of momentous happenings in the world of artificial intelligence (AI) through my 2023 AI talk blog journey. We also review […]
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Nov. 27, 2023 / By V. “Juggy” Jagannathan, PhD
In this week’s blog, I explore the fascinating question: What does a large language model (LLM) really know? Intriguing studies from MIT researchers contain a partial answer. I also delve […]
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Oct. 27, 2023 / By V. “Juggy” Jagannathan, PhD
In this blog, I explore the notion of “fit for purpose” in the context of large language models (LLMs). When you have a big hammer, as they say, everything is […]
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Aug. 11, 2023 / By V. “Juggy” Jagannathan, PhD
In this blog, I explore the state of affairs with how to label content generated by artificial intelligence (AI). This is an incredibly hard problem to solve. Labeling AI […]
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June 16, 2023 / By V. “Juggy” Jagannathan, PhD
This week’s blog highlights content from my latest podcast with my friend Prem Devanbu, distinguished professor emeritus at UC Davis. He works in empirical software engineering and artificial intelligence (AI) […]
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June 2, 2023 / By V. “Juggy” Jagannathan, PhD
As I was browsing the blogsphere for what is new, I came across this snippet “Knowledge Graphs and LLMs are “a match made in Heaven.” and it piqued my interest. […]
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May 19, 2023 / By V. “Juggy” Jagannathan, PhD
This week I am focusing on a discipline that didn’t exist a few years ago: Prompt engineering. Yes, I use the term discipline as there are now courses being offered […]
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April 3, 2023 / By V. “Juggy” Jagannathan, PhD
In this week’s blog I look at the labor force impact of large language models (LLMs) and a blog post by Bill Gates heralding a new era of artificial intelligence […]
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March 10, 2023 / By V. “Juggy” Jagannathan, PhD
Big tech is at war so to speak, a war started by the popularity of ChatGPT, based on a large language model (LLM). Google, Microsoft, Meta and Amazon have all […]