Optimizing LLM Accuracy and Efficiency with Error Correction

This chapter explores the intricacies of utilizing Large Language Models for information extraction, comparing the accuracy of different model sizes. It emphasizes a specific approach for refining approximate answers to enhance precision, speed, and cost-effectiveness through effective post-processing techniques and error correction algorithms.