Don't Import Torch. Build It - TinyTorch (mlsysbook.ai)

TinyTorch has emerged as an innovative educational framework that encourages learners to build their own machine learning (ML) systems from scratch instead of relying on established libraries like PyTorch or TensorFlow. This initiative allows users to dive deep into the fundamental concepts of ML, including tensors, autograd, and training loops, while progressively advancing to more complex topics like convolutional neural networks (CNNs) and transformers. By engaging with the underlying mechanisms, participants can gain a richer understanding of how these popular frameworks operate, thereby enhancing their skills in ML deployment. The significance of TinyTorch lies in its hands-on approach to education, as it allows individuals to recreate pivotal milestones in ML history, fostering a deeper comprehension of the technology's evolution. Organized into four structured tiers, the program offers a clear learning path that culminates in a capstone project, the "Torch Olympics," designed to prepare participants for real-world applications. With no prior ML experience required, TinyTorch opens the door for a broader audience to explore the intricacies of machine learning, potentially cultivating a new generation of developers well-versed in the core principles driving AI advancements.