Flash Linear Attention: Efficient Attention Mechanisms for Transformers
The transformer architecture has been the dominant model for sequence processing since its introduction, but it carries a fundamental limitation: …
The transformer architecture has been the dominant model for sequence processing since its introduction, but it carries a fundamental limitation: …
Large language models have grown far beyond the memory capacity of consumer hardware. A 70-billion-parameter model requires 140 gigabytes of GPU …
The Transformer architecture has dominated deep learning for years, but a new challenger has emerged: state space models (SSMs). At the heart of …