Foundations of Large Language Models (opens in new tab)

On the contrary, ArXiv is for pre-prints, i.e. not (yet) peer-reviewed. Off the top of the my head, it was initially used by physicists who often have huge collaborations and long reviewing time. Then the ML community invaded the space later on. This does not mean a peer-reviewed paper cannot go there of course.

As an academic, I always thought of arxiv as where you put your papers first, before they are peer reviewed. Before that we used our webpages, but they kept breaking.

Yes it can - both via websearches and uploaded (atleast I'm doing it daily).

EDIT: This article says its only in ChatGPT Enterprise, but works for me on free plan: https://help.openai.com/en/articles/10416312-visual-retrieva...

The book too it self aware, though you do have to make it to page ii.

> In writing this book, we have gradually realized that it is more like a compilation of "notes" we have taken while learning about large language models. Through this note-taking writing style, we hope to offer readers a flexible learning path. Whether they wish to dive deep into a specific area or gain a comprehensive understanding of large language models, they will find the knowledge and insights they need within these "notes".