Python is great because it includes an interactive mode for learning the language and quickly testing out code ideas. IPython ...

It's easy to create environments. To create an environment, you use the mamba create command with the "-n" option followed by ...

Our implementation is written in an IPython notebook and was designed for use with Google Colab. In response to the implementation of the credit system, we have added support for local run times and ...

这背后反映出一个有趣的现象：对于全球开发者来说，Perplexity用不用某个开源模型，实际上已经演变成了一个重要的风向标。它所指向的，不仅仅是技术优劣，更是开源模型能否经受住真实产业环境考验的关键信号。

引言 在AI项目中使用Docker镜像有两个重要的原因：它能够正常运行，忠实地执行你的模型；并且可以精心打造，这意味着它体积轻巧、构建迅速且部署高效。这两个原因看起来似乎并是不相关，就像一个强大的引擎和一个流线型的底盘。然而，我不这么认为。我认为一个精心打造的镜像更有可能在软件工程和AI的严苛世界中可靠地运行并优雅地扩展。