FlashSigmoid: A Hardware-Aware and Memory-Efficient Implementation of Sigmoid Attention Yielding a 17% Inference Kernel Speed-Up over FlashAttention-2 on H100 GPUs
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MIDI Files as Training Data. A fundamental difference: MIDI scores… | by Francesco Foscarin | Sep, 2024
DPAdapter: A New Technique Designed to Amplify the Model Performance of Differentially Private Machine Learning DPML Algorithms by Enhancing Parameter Robustness
Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart
GGUF Quantization with Imatrix and K-Quantization to Run LLMs on Your CPU
