问HN：大型语言模型如何帮助你阅读论文和书籍
我很好奇HN（黑客新闻）社区在使用大型语言模型（LLMs）阅读和理解论文及教科书方面的经验。你们是否使用了某些特殊工具来简化这个过程？这些工具有效吗？
我在想一种可以提问的书籍。它可以更详细地解释某些主题，或者告诉你你所问的内容将在书的后面解释。同时，它还可以让你跳过你已经熟悉的材料，并提供其他资源的参考等。
也许让当前的LLMs吸收整本书的信息对它们来说有些过于复杂，但我相信一定有解决办法。
注意：我并不是想自己开发这样一个工具。
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I'm curious what HN's experiences are with using LLMs for reading and comprehending papers and textbooks. Do you use special tools that make the process easier? Do they work?<p>I'm thinking of a book that you can ask questions. It can explain topics in more detail, or it can tell you that the thing you asked will be explained later in the book. And it will allow you to skip material that you are already familiar with. Provide references to other resources, etc.<p>Maybe ingesting an entire book is too much for current LLMs, but I'm sure there are ways around that.<p>Note: I am __not__ trying to build such a tool myself.