Attention-based architectures are a powerful force in modern AI. In particular, the emergence of in-context learning abilities enables task generalization far beyond the original next-token prediction ...

This course is part of the Mathematics for Machine Learning and Data Science Specialization by DeepLearning.AI. After completing this course, learners will be able to: Represent data as vectors and ...

This codebase is compatible with GPT-2, GPT-J, Llama-2, and any other language model available in HuggingFace Transformers. The code is implemented using PyTorch and the HuggingFace's Transformer ...

Transformers have revolutionized a wide array of learning tasks, but their scalability limitations have been a pressing challenge. The exact computation of attention layers results in quadratic ...