If you are new to deep learning
A deep understanding of deep learning
Modern deep learning in PyTorch, with lots of exercises and code challenges to hone your skills. Includes a Python tutorial.
Build, train, and dissect neural networks and language models.
Deep learning is linear algebra, calculus, and statistics working together at scale. Start with how networks learn, then go inside large language models to see how they actually work.
Different ways into the same material. Any one of them is a complete start.
If you are new to deep learning
Modern deep learning in PyTorch, with lots of exercises and code challenges to hone your skills. Includes a Python tutorial.
If you want to understand LLMs from the inside
LLMs such as GPT and BART in PyTorch, covering architecture, training, technical AI safety, mechanistic interpretability, and experiments. Includes Python and deep learning basics.
If you prefer hands-on projects
Investigate transformer mechanisms through data analysis, visualization, and experimentation.
Courses, books, code, and free material in one list.
Investigate transformer mechanisms through data analysis, visualization, and experimentation.
LLMs such as GPT and BART in PyTorch, covering architecture, training, technical AI safety, mechanistic interpretability, and experiments. Includes Python and deep learning basics.
Modern deep learning in PyTorch, with lots of exercises and code challenges to hone your skills. Includes a Python tutorial.
Companion code for the courses and books on this page, ready to run and modify.
Nothing in this format yet.