Large data set management with large language models

A computer-implemented method for referencing a data set via a large language model, the computer-implemented method comprising, by one or more hardware processors executing program instructions:

• receiving, via a user interface, a natural language query;
• receiving indications of one or more data object types, wherein each of the one or more data object types is associated with a respective one or more properties;
• receiving references to one or more data sets, wherein the one or more data sets are each associated with at least a respective data object type of the one or more data object types;
• transmitting a prompt to a large language model (“LLM”), the prompt comprising at least:
• the natural language query, the indications of the one or more data object types, and the references to the one or more data sets;
• and
• receiving, from the LLM, a response to the prompt, wherein the response comprises indications of:
• at least a first reference to a first data set of the one or more data sets, and a query to be applied to the first data set.