📄 中文摘要
当前AI和大语言模型（LLM）领域涌现出大量书籍，许多作者急于抓住这一波热潮进行出版。为了帮助开发者在众多书籍中找到高质量的资源，作者分享了自己阅读的20多本书籍中的十大推荐。这些书籍涵盖了AI工程的基础知识、应用开发、模型训练等多个方面，适合不同水平的读者。通过这些推荐，读者可以更有效地获取AI和LLM领域的知识，提升自己的专业技能。
我阅读了20多本关于AI和LLM工程的书籍：以下是我的十大推荐
📄 English Summary
I Read 20+ Books on AI and LLM Engineering: Here Are My Top 10 Recommendations
The AI and LLM space is currently flooded with numerous books, as many authors rush to publish works that capitalize on the ongoing excitement. To assist developers in navigating through the plethora of available literature, the author shares their top ten recommendations from over twenty books read. These selections cover various aspects of AI engineering, including foundational knowledge, application development, and model training, catering to readers of different skill levels. Through these recommendations, readers can more effectively acquire knowledge in the AI and LLM domain and enhance their professional skills.