The Creative, Occasionally Messy World of Textual Data
For several years, the intersection of text and data stayed (more or less) within the realm of natural language processing (NLP) — the wide range of machine learning tasks that leverage textual data for prediction, classification, and recommendation tools.The rise of large language models has introduced a host of exciting new possibilities into the field, with novel use cases and innovative workflows popping up at a rapid clip. Our highlights this week represent a wide cross-section of concepts and approaches that dig…