@jaideeparashar@psomkar1 yah, if you build serious production softwares, you still need to have a valid software development process. And still require a lot of human effort.
@BoWang87 Haha, as developers who’ve been coding for a long time, we can tell a lot about how a person thinks by looking at their code. Architectural thinking really important here. Taste also important.
Video lectures from CMU that covers how to build, deploy, assure, and maintain software products with machine-learned models, from classic ML to LLMs to AI agents. 🙏 🙏 https://t.co/3HbSqekGMa https://t.co/eQvdwHR6DF #MachineLearning
Today I’m sharing Tiny🔥Torch—an educational framework for ML systems, built from scratch. You don’t just train models, you build tensors, autograd, optimizers, and data loaders, and see how design choices affect memory, performance, and efficiency.
If you use @PyTorch or @TensorFlow, this helps learners see what’s really happening under the hood. Too many students learn how to use ML frameworks, but never how to build one. Tiny🔥Torch is about closing that gap.
Early, open, and still evolving, looking for fellow educators and learners. Ideas and help welcome 🙏
https://t.co/rEO37tbmHO