BERT Large

BERT Large, a large-scale transformer-based language model, is a powerful tool for natural language processing, achieving state-of-the-art results on various tasks. Current research focuses on improving its efficiency through compression techniques like pruning and quantization, investigating its internal mechanisms of linguistic processing, and adapting it for specialized domains such as legal text analysis and multimodal hate speech detection. These efforts aim to reduce the computational cost and memory footprint of BERT Large while maintaining or improving performance, broadening its applicability across diverse fields.