Rankify is a Python toolkit designed for unified retrieval, re-ranking, and retrieval-augmented generation (RAG) research. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7 ...

We compare the performances of the coprocessor and the GPU in terms of running time, memory requirement, and programming difficulty for the special case of matrix-matrix multiplication.

Many attempts have been made to hide communication latency and maintain strong scalability even for dense matrix multiplication. Matrix multiplication is an ideal candidate for benchmarking the ...

Execute simple Python code snippets, such as creating arrays, performing matrix multiplication, or generating random numbers. These tasks showcase the sandbox’s ease of use and reliability for ...

Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing ...