Why structured data offers LLMs tremendous benefits -- and a major challenge [Q&A]

ChatGPT and other LLMs are designed to train and learn from unstructured data -- namely, text. This has enabled them to support a variety of powerful use cases. However, these models struggle to analyze structured data, such as numerical and statistical information organized in databases, limiting their potential. Mike Finley, CTO and co-founder of AnswerRocket, believes there is a way around this, by treating structured data as unstructured. We spoke to him to learn more. BN: Why is it difficult for LLMs to analyze structured data? MF: ChatGPT and other large language models (LLMs) are designed to train and learn… [Continue Reading]