Modern methods that combine pre-trained language models with transfer learning allow systems to adapt to new tasks with minimal annotated data. Rather than creating datasets from scratch, modern architectures reuse learned patterns to solve new tasks. This approach reduces annotation costs while maintaining competitive accuracy rates. These innovations are transforming