Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at Northeastern University in Boston, US, where he teaches generative AI ...

Matrix multiplication involves the multiplication of two matrices to produce a third matrix – the matrix product. This allows for the efficient processing of multiple data points or operations ...

The forward pass in a neural network can be significantly accelerated using nvmath-python. By executing the RELU_BIAS epilog, users can perform matrix multiplication, add biases, and apply ReLU ...

Tony Kim Nov 18, 2024 23:24 Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by ...

Fusing Epilog Operations with Matrix Multiplication One of the standout features of nvmath-python is its ability to fuse epilog operations with matrix multiplication. Epilogs are operations that can ...

To be clear, a 2.7B parameter Llama-2 model is a long way from the current best LLMs on the market, such as GPT-4, which is estimated to have over 1 trillion parameters in aggregate.