My notes on talks I attended (mostly on LLMs) at 29th ACM SIGKDD 2023 at Long Beach, CA
We proposed a novel end-to-end approach, the Neural Lagrangian Selling (NLS) model, to improve Guaranteed Delivery (GD) advertising by concurrently predicting ad impression inventory and optimizing contract allocation
Predicting race, age and gender of faces using Variational Autoencoders and Convolutional Neural Networks.
I needed to compare two data frames with over five million rows. I asked ChatGPT for help. I ended up learning about SHA-256 and hashes.
Building a customizable chatbot that brings unique characters to life