Large Language models (LLMs) have revolutionized the way we interact with unstructured text data. They can search for specific information, summarize key points, and even answer straightforward yes-or-no questions with corresponding explanations. However, for we developers, the outputs generated by LLMs can be cumbersome to handle. These models can certainly generate a paragraph based on our requirements, but the data is unstructured, posing challenges for us who prefer structured data. Instead of presenting users with the raw output from the LLM, we desire the flexibility of structured data.
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Structured Response from LLMs
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Large Language models (LLMs) have revolutionized the way we interact with unstructured text data. They can search for specific information, summarize key points, and even answer straightforward yes-or-no questions with corresponding explanations. However, for we developers, the outputs generated by LLMs can be cumbersome to handle. These models can certainly generate a paragraph based on our requirements, but the data is unstructured, posing challenges for us who prefer structured data. Instead of presenting users with the raw output from the LLM, we desire the flexibility of structured data.