🌁#83: GAN is back

Now, to the main topic →

Last week’s headlines were dominated by timid CEOs and burning events in LA, with CES coverage flooding every feed. In was intense, and we found ourselves yearning for the comfort of good old machine learning. So today, we’re revisiting a classic: GANs. Are they still worthy of their title as one of the most captivating ideas in ML?

This overview is inspired by the recent paper “The GAN Is Dead; Long Live the GAN!”. As always, let’s begin with our favorite starting point – a refreshing dive into history.

Curated Collections (ex Twitter library)

Inspired by Agent Laboratory: Using LLM Agents as Research Assistants by AMD and Johns Hopkins University and LLM4SR: A Survey on LLMs for Scientific Research by University of Texas at Dallas, we put together this collection: