This AI Paper Introduces PARSCALE (Parallel Scaling): A Parallel Computation Method for Efficient and Scalable Language Model Deployment

This AI Paper Introduces PARSCALE (Parallel Scaling): A Parallel Computation Method for Efficient and Scalable Language Model Deployment

Over time, the pursuit of better performance of language models has pushed researchers to scale them up, which typically involves increasing the number of parameters or extending their computational capacity. As a result, the development and deployment of language models now heavily depend on the availability of substantial computational resources and memory. Despite the advances, increasing model size or generating more tokens to enhance reason…