AI Tutorial

zero_to_gpt is a tutorial designed to help users learn deep learning from scratch and ultimately train their own GPT model. As artificial intelligence technology moves out of the laboratory and is widely used in all walks of life, society has a growing demand for talents who can understand and apply AI technology. This tutorial combines theory and practice to explain in depth the theoretical foundations of deep learning, such as gradient descent and backpropagation, by solving practical problems (such as weather prediction, language translation, etc.). The course content starts with basic neural network architecture and training methods and gradually dives into complex topics such as transformers, GPU programming and distributed training.

This GitHub repository is a centralized storage center for resources related to generative artificial intelligence, including the latest monthly research papers, interview question banks, course materials, code notebooks, etc. The content is regularly updated to allow developers and practitioners to keep up with the latest developments and improve productivity. The main resources include paper abstracts, interview question classifications, free course lists, open source notebooks, etc., as well as some usage scenarios and examples.