In this talk, we embark on a journey through the dynamic landscape of Generative AI, delving into both statistical intricacies and ethical considerations surrounding Large Language Models (LLMs). We dissect the statistical modeling techniques employed in generative models, shedding light on the emergence of GAN and diffusion models and the pivotal role transformers play in sequential data. Amidst the transformative potential of these models, we confront the pressing issue of bias and ethical concerns, exploring avenues for mitigating algorithmic biases and promoting ethical AI practices. The talk will finally touch upon some of the open problems that exist in this field.
Short Bio:
Swagatam Das, a Professor at the Indian Statistical Institute, Kolkata, earned his B.E., M.E., and Ph.D. degrees from Jadavpur University. Formerly Deputy Director at TCG CREST, his research spans deep learning and non-convex optimization, with over 400 publications. He co-founded Swarm and Evolutionary Computation and serves as Associate Editor for prestigious journals. With 32,000+ Google Scholar citations and an H-index of 84, he's renowned internationally, participating in top conferences like NeurIPS and receiving accolades such as the 2012 Young Engineer Award and the 2015 Thomson Reuters Research Excellence India Citation Award.
