Generating

As first-year students within the Social and Engineering Systems (SES) doctoral program...

Their work, which they'll present on the IEEE Symposium on Security and Privacy in May next 12 months, shines a light-weight on how easy it's to force generative AI models into disregarding their...

The right way to construct systems to generate more — with lessIn “The E-Myth Revisited: Why Most Small Businesses Don’t Work and What to Do About It”, Michael E. Gerber invites small business owners...

Constructing GPT from Scratch-Inspired heavily from Andrej Karpathy’s video and Illustrated Transformer blog.Below is a diagram showing the Transformer -decoder architecture I implemented in PyTorch (Full Code in Github).Here I used to be just...

DCGAN: The Art of Generating Lifelike Human FacesWhile DCGANs have achieved remarkable success in generating lifelike human faces, there are still challenges to beat and avenues for improvement. A few of the challenges include...

Jaykumar Patel, Janvi Patel, Aniketh Devarasetty, Malvika Vaidya, Seann Robbins, Tanner HudnallIn this text, we'll showcase our initial attempts at making a song suggestion model. We'll give an outline of our dataset and the...

While recent work on text-conditional 3D object generation has shown promising results, the state-of-the-art methods typically require multiple GPU-hours to supply a single sample. That is in stark contrast to state-of-the-art generative image models,...