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: …
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Deep Learning
ColossalAI: Open-Source Large-Scale AI Training Framework
Training large AI models is fundamentally a distributed computing problem. A single 70B parameter model requires more memory than any GPU can …
ChatRWKV: The Open-Source 100% RNN Language Model Challenging Transformers
For years, the AI community operated under a widely accepted assumption: the transformer architecture, introduced in the landmark …
Causal-Conv1d: The CUDA-Optimized Kernel Powering Mamba State Space Models
The Transformer architecture has dominated deep learning for years, but a new challenger has emerged: state space models (SSMs). At the heart of …