How to obtain structured output from an LLM? - use a framework

The article discusses how language models like LLMs (Large Language Models) can generate structured outputs, which can be extremely valuable in various applications, from data analysis to report generation. The authors present several techniques that allow for the extraction and organization of information in a useful way. One of the key points is the importance of proper input preparation and adjusting queries to achieve satisfactory results. With structured output, we can utilize results in more complex systems and applications, opening new possibilities for developers and analysts alike. In conclusion, the article encourages reflection on the future of interactions with language models and their potential for further advancements in artificial intelligence technology.