Boosting Document Analysis: A New Approach with Reduced LLM Inference

This article highlights an innovative method for improving the accuracy of document analysis using a Large Language Model (LLM). The core idea is to minimize the LLM's Inference, allowing it to focus on information extraction while delegating other tasks to deterministic processes, leading to more reliable results. This approach could significantly enhance document processing efficiency.

• •The new method aims to reduce the amount of Inference performed by the LLM.
• •It focuses on extracting raw data from the documents.
• •The final structuring of the extracted information is handled by a subsequent process.