Foundations of Large Language Models
It provides an introductory resource for those interested in large language models, but it is incremental as it focuses on established concepts rather than new research.
The book tackles the foundational concepts of large language models, covering key areas like pre-training and alignment, and serves as a reference for students and professionals in NLP.
This is a book about large language models. As indicated by the title, it primarily focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies. The book is structured into five main chapters, each exploring a key area: pre-training, generative models, prompting, alignment, and inference. It is intended for college students, professionals, and practitioners in natural language processing and related fields, and can serve as a reference for anyone interested in large language models.