Fine-Tuning Language Models for Document Processing

This chapter explores the fine-tuning process of large language models to meet specific customer needs, highlighting the trade-offs between model customization and operational efficiency. It underscores the pivotal role of prompt engineers in designing effective data pipelines for intelligent document processing, addressing challenges such as diverse document classes and the necessity of rigorous testing.