Explore cutting-edge techniques in Natural Language Processing (NLP) fine-tuning in this 45-minute conference talk by Armen Aghajanyan, Research Scientist at Facebook AI. Delve into the world of large pre-trained language models and their application in solving various NLP tasks. Gain insights into adversarial methods and their underlying principles, and discover the potential of multi-task learning for enhancing pre-trained representations. Investigate the intriguing question of why fine-tuning massive language models on small datasets yields effective results. This Toronto Machine Learning Series (TMLS) presentation offers a comprehensive overview of modern advancements in NLP fine-tuning, providing valuable knowledge for researchers and practitioners in the field.