Optimizing Transformer Architectures for Natural Language Processing
Transformer architectures have revolutionized natural language processing (NLP) tasks get more info due to their capacity to capture long-range dependencies in text. However, optimizing these complex models for efficiency and performance remains a crucial challenge. Researchers are actively explorin