Jacob R. Stevens

Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models

2021 · arXiv (Cornell University)

Transformer models have garnered a lot of interest in recent years by delivering state-of-the-art performance in a range of Natural Language Processing (NLP) tasks. However, these models can have over a hundred billion parameters, presenting …