From Fine-Tuning to Prompt Engineering: Theory and Practice for Efficient Transformer Adaptation

The Challenge of Fine-Tuning Large Transformer Models

Self-attention enables transformer models to capture long-range dependencies in text, which is crucial for comprehending complex language patterns. These models work…