Large Language Models (LLMs) are changing the way we interact with data. The future of LLMs may not be tied to a specific programming language, but rather to more user-friendly, flexible, and efficient ways of handling and processing data.
We discuss prompt engineering, as an NLP task, is not sustainable and the need for more structured input and output formats for querying large language models.
Large language models (LLMs) are poised to revolutionize many industries, and three groups are well-positioned to reap the benefits: incumbents with existing distribution networks, new companies that develop specialized LLM applications, and companies that own large amounts of data.