Today we continue the 2020 AI Rewind series, joined by friend of the show Sameer Singh, an Assistant Professor in the Department of Computer Science at UC Irvine.
We last spoke with Sameer at our Natural Language Processing office hours
back at TWIMLfest, and was the perfect person to help us break down 2020 in NLP. Sameer tackles the review in 4 main categories, Massive Language Modeling, Fundamental Problems with Language Models, Practical Vulnerabilities with Language Models, and Evaluation.
We also explore the impact of GPT-3 and Transformer models, the intersection of vision and language models, and the injection of causal thinking and modeling into language models, and much more.
We want to hear from you! Send your thoughts on the year that was 2020 below in the comments, or via Twitter at @samcharrington
To follow along with the 2020 AI Rewind Series, head over to the series page