Blog post
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 […]
Blog post
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 […]
Blog post
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 […]
Blog post
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) […]
Blog post
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. […]
Blog post
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 […]
Blog post
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 […]
Blog post
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 […]
Blog post
Dec. 3, 2021 / By V. “Juggy” Jagannathan, PhD
In this blog, I want to highlight one theme that I found interesting from the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), one that explores the […]