Turning language into a practical interface for software, data, and decision-making with advanced natural language processing models
Recent advances in natural language processing (NLP) have been driven primarily by the emergence of transformer-based large language models, improvements in training and fine-tuning methodologies, and the expansion of practical applications across a
diverse range of domains.