Large Language Models (LLMs) can process unstructured text data to find information, summarize, and answer basic questions.
Developers face challenges in handling unstructured data generated by LLMs and desire structured outputs for easier processing.
By using novel features like function calling in LLMs, structured data can be generated for specific tasks like sentiment analysis, making data handling more efficient.