请问HN：现代人工智能的最佳开发者指南
类似的问题经常在这里出现。这次的问题有些特别。<p>请问有没有软件工程师正在使用或认真研究现代大型语言模型（LLM）和生成模型的？请分享你个人认为对其他开发者有帮助的前五个资源，以便他们能够快速上手并在生产中使用这些模型，同时对其基本原理有一定的了解。<p>可以是书籍、博客、课程、讲座，任何形式的资源都可以。<p>请避免科学或数学内容较重的文章，也不要涉及哲学、历史、辩论或争议。<p>我们需要的是纯粹的实用指南、书籍和课程，从软件开发者的角度教授、展示和解释现代人工智能的全景。<p>类似于Kleppman的书，但针对人工智能的。<p>谢谢。
查看原文
Similar questions pop up here regularly. This one is with certain angle.<p>Any software engineers working or seriously playing with modern llm and generative models — please share your personal top 5 resources that you think are good for fellow developers to ramp up to speed and start using them in production with some basic general understanding of how they work.<p>Books, blogs, courses, lectures, anything.<p>No scientific or math heavy articles. No philosophy or history, no debates or controversy.<p>Purely practical guides, books, courses that teach, show, explain modern ai landscape from software developer perspective.<p>Something like Kleppman’s book, but for ai.<p>Thank you.