This is an online master’s course in Natural Language Processing (NLP) at UT that covers various topics such as sentiment analysis, neural networks, word embeddings, transformers, large language models, question answering, dialogue systems, machine translation, and summarization. The course includes lectures available on YouTube and assignments on linear sentiment classification, neural networks, transformer language modeling, and more. One interesting aspect is the focus on cutting-edge topics like GPT-3, BERT, and large language models, with discussions on explainability, dialogue systems, and modern QA systems. The course materials provide a comprehensive overview of NLP advancements and practices, making it a valuable resource for students.
https://www.cs.utexas.edu/~gdurrett/courses/online-course/materials.html