<i>> Personal Library Science is the leverage of LLM technology, applied to a personal library. A personal library differs from a impersonal library in the fact that a personal library is an interpretation of a source material. These interpretations include: photographs from different photographers at the same event, or favorite scenes from a movie, or favorite passages from books, parts of songs that bring you to tears, etc. Importantly, these interpretations create unique sets that go on to create unique problems which require unique, idiosyncratic solutions.</i><p>Would an LLM-driven "Personal Library" require manually annotated textual interpretation of each curated item, or could it derive personal interpretations from user history and the uniqueness of curated items/sets?<p>For those who have been using local, offline LLMs with a manually curated text/image corpus, what have been the most valuable or surprising use cases?<p>Author demo video (2023), <a href="https://youtube.com/watch?v=7TgqMRz2r3M" rel="nofollow">https://youtube.com/watch?v=7TgqMRz2r3M</a> & tooling comment (2024), <a href="https://news.ycombinator.com/item?id=39789712">https://news.ycombinator.com/item?id=39789712</a><p><i>> Inspired by the commonplace book format, I take highlights from Kindle and embed them in a DB. From there I build (multiple) downstream apps but the central one, Commonplace Bot is a bot that serves as a retrieval and transformer for said highlights.</i><p>Related: <a href="https://en.wikipedia.org/wiki/Lifelog" rel="nofollow">https://en.wikipedia.org/wiki/Lifelog</a>