Chapter
Building Machine Learning Frameworks in Python vs Swift
17:48 - 22:51 (05:02)
Python is good for building libraries, but when it comes to building a machine learning framework, performance becomes a concern. Swift has features like value semantics that provide mathematical object-like behavior.
Clips
Python can be great for libraries and small applications, but may not be ideal for building performance-intensive applications like machine learning frameworks due to issues like performance and the lack of GPU acceleration.
17:48 - 21:13 (03:24)
Summary
Python can be great for libraries and small applications, but may not be ideal for building performance-intensive applications like machine learning frameworks due to issues like performance and the lack of GPU acceleration. On the other hand, Swift offers features like value semantics for improved performance but may not have as robust of a library ecosystem as Python.
ChapterBuilding Machine Learning Frameworks in Python vs Swift
Episode#131 – Chris Lattner: The Future of Computing and Programming Languages
PodcastLex Fridman Podcast
The challenges of working with code that behaves differently from math are discussed, such as debugging and understanding the intricacies of a code library.
21:13 - 22:51 (01:38)
Summary
The challenges of working with code that behaves differently from math are discussed, such as debugging and understanding the intricacies of a code library. It can be difficult to understand where to clone a thing, when to use a pointer, and how to avoid ruining a math model.