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Summary from the TLDR Web Dev newsletter

This is a hands-on article that explores the Function Calling capability OpenAI recently released. The article uses an example to use Large Language Models (LLMs) to extract structured data from unstructured Kaggle competition write-ups. The process involves defining a function for structured output, designing a prompt for extraction, and handling API rate limits. After obtaining a list of methods, the author uses an LLM to clean up and structure the data, which is then analyzed further.