The MT-DNN repository implements a multi-task learning approach for natural language understanding using deep neural networks. It builds on pre-trained language models (BERT) and jointly trains across multiple NLP tasks including machine reading comprehension, named entity recognition, and ranking. The project includes implementations of adversarial training, knowledge distillation, and robust fine-tuning techniques for pre-trained models.