在自已的機器上跑生成式AI模型的一些方式

這篇主要是用來記錄一下一些生成式AI模型的在地端可以跑的一些資源,主要是從DK這篇文章看過來的…

Reference:

透過ChatGPT 來對網頁做總結

剛在看最近的HackerDailyNews時,剛好看到一篇文章為 Why Take a Compiler Course? ,文章的內容本身不長, 剛好想說這種東西好像蠻適合叫GPT來幫我做個總結…

大概找了一下,看到這個 ChatGPT – Summarize everything! – Chrome Web Store (google.com),也適用了一下,感覺真的蠻不錯的XDDDD

以下是GPT給的總結:

Summary

Learning about compilers and their components has broad practical use for serious programmers. Even if you don’t plan on writing a compiler, understanding parsers and interpreters is important as we end up writing them all the time. Knowing the details of a language can help you write better, faster, and more correct code. Understanding the optimization capabilities and limitations of a compiler can help you work more effectively with it.

  • 🤔 Serious programmers need to understand parsers and interpreters, which are used frequently in extensible programs and dealing with new input files.
  • 💻 Understanding a language’s corner cases and complexities can help write better, faster, and more correct code.
  • 🚀 Knowing what optimizations are in-scope for a compiler can help programmers work more effectively with it.
  • 🤝 Cooperation with a compiler can lead to faster code, while fighting against it can lead to premature optimization and other tricks.
  • 💬 Compiler backends can help gain a better understanding of computer architectures.
  • 💡 There are three main components of a compiler: the frontend, middle end, and backend, all of which have value to understand.
  • 📚 Learning about compilers can bring together theoretical and practical knowledge that can be applied to daily little languages.

看來總結的蠻不錯的,以後很適合我快速掃文章重點XDDDD