Inside Angle

From 3M Health Information Systems

Tag: LLMs

Nate BrakeNate Brake

Blog post

Training AI and LLMs to answer the tough questions

Feb. 26, 2024 / By Nathan Brake

I’ve been a long time user of Mint for their free money management and budgeting tools. I’m sure it comes as no shock that someone working in machine learning is […]

Juggy JagannathanJuggy Jagannathan

Blog post

AI talk – Future of digital health

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 […]

Juggy JagannathanJuggy Jagannathan

Blog post

AI talk: Agents to the rescue and a rabbit?

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 […]

Nate BrakeNate Brake

Blog post

Simultaneously intelligent and naïve – A dichotomy of AI and LLMs

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 […]

Juggy JagannathanJuggy Jagannathan

Blog post

AI talk: Patent lawyer and a 2024 preview

Jan. 12, 2024 / By V. “Juggy” Jagannathan, PhD

This week it is my privilege to share a podcast I did with Robert Plotkin. Robert is a patent lawyer who has been exploring the role of artificial intelligence (AI) […]

Juggy JagannathanJuggy Jagannathan

Blog post

AI talk: Whew! What a year for AI! And Fei-Fei Li

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 […]

Juggy JagannathanJuggy Jagannathan

Blog post

AI talk: What do LLMs know? And AI safety

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 […]

Juggy JagannathanJuggy Jagannathan

Blog post

AI talk: Fit for purpose

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 […]

Juggy JagannathanJuggy Jagannathan

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AI talk: How to bell the cat?

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 […]

Juggy JagannathanJuggy Jagannathan

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AI talk: Naturalness of software and constitutional AI

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) […]

Juggy JagannathanJuggy Jagannathan

Blog post

AI talk: A match made in heaven

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. […]

Juggy JagannathanJuggy Jagannathan

Blog post

AI talk: Prompt engineering

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 […]