Introduction to Large Language Models
Anyone can carry out machine learning as long as they have data, thanks to various tools and libraries provided in recent several years. However, you cannot properly use the outputs of programs without knowing their meaning. It is necessary to understand the algorithms and theoretical basis of how the results were derived.
In this seminar, we are going to have a reading society of the book "Introduction to Large Language Models" to study about theoretical basis of Transformer and its application to natural language processing such as question answering, summarizing, etc.