[D] Liquid Nets, Neural ODEs/PDEs, and Text-based Diffusion

I've been pivoting into AI/ML as a full-stack engineer and I have some questions about some things.

I recently came across some interesting developments in the field of natural language processing and text generation. Specifically, I learned about Liquid Neural Networks (LNNs) from MIT, as well as the application of diffusion models to text generation.

Liquid Neural Networks represent the hidden states of a neural network as a continuous function of time, evolving according to differential equations. They have shown …

application diffusion diffusion models engineer full-stack language language processing liquid neural networks lnns machinelearning mit natural natural language natural language processing networks neural networks pivoting processing questions stack text text generation