Stop Using LLMs Like Giant Problem Solvers

1. 1Build a deterministic loop around agents to process unstructured data
2. 2Configure LLMs to focus on specific tasks within the loop
3. 3Apply data preprocessing techniques to prepare pdfs for agent-based processing
4. 4Run the loop on a dataset of 100 messy pdfs to extract structured insights
5. 5Test and refine the loop to improve accuracy and efficiency

Data scientists and AI engineers on a team can benefit from this approach to improve the efficiency and accuracy of their data processing pipelines, and to unlock new insights from complex data sources

💡 LLMs are more effective when used as part of a larger, structured process, rather than as a standalone solution

💡 Stop using LLMs as giant problem solvers! Build deterministic loops around agents to extract insights from messy data