Large Model Practical Guide: From Confusion to Successfully Optimizing OCR Tasks

A tech enthusiast, with support from the Linux community, started from initial confusion about the differences between large models, learned to efficiently use models like Sonnet, and chose a proxy service. Using a 1-yuan trial credit, they successfully updated the basic functionality of a Python script with Claude, then optimized the code with Codex, completely solving the PDF OCR problem. Previously, attempting the iflow method took more than 2 days and still couldn’t process scrambled PDF files. The entire process cost only 0.22 RMB, highlighting the efficiency and cost-effectiveness of AI tools in programming tasks. The article emphasizes the importance of community collaboration and the practical value of applying AI technology, providing readers with valuable experience sharing and industry insights.