Operationalizing a Design Space for Actionable Data Analysis and Storytelling with Large Language Models (LLMs)

A computer system, comprising:

• one or more processors;
• and
• memory coupled to the one or more processors, the memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for:
• receiving, via a user interface, a user query associated with a task, wherein the task is one of a data storytelling task or a data analysis task;
• in response to receiving the user query:
• determining a computational complexity of the task;
• determining, from a plurality of modes of operation, a mode of operation for operating a data processing system according to the computational complexity of the task, wherein:
• the plurality of modes of operation includes (i) a single agent mode of operation having one agent for providing a response to the user query and (ii) a multi-agent mode of operation that applies a combination of multiple agents with different technical capabilities to provide a response to the user query;
• and
• each of the plurality of modes of operation is (i) associated with a corresponding set of data processing models and (ii) has a corresponding architecture;
• generating a set of instructions for the data processing system to process the user query based on the task and the mode of operation;
• causing execution of the data processing system based on the mode of operation and the set of instructions;
• receiving, from the data processing system, a response to the user query;
• and
• displaying, on the user interface, output data associated with the response.

A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions that, when executed by a computer system, cause the computer system to:

• receive, via a user interface, a user query associated with a task, wherein the task is one of a data storytelling task or a data analysis task;
• in response to receiving the user query:
• determine a computational complexity of the task;
• determine, from a plurality of modes of operation, a mode of operation for operating a data processing system according to the computational complexity of the task, wherein:
• the plurality of modes of operation includes (i) a single agent mode of operation having one agent for providing a response to the user query and (ii) a multi-agent mode of operation that applies a combination of multiple agents with different technical capabilities to provide a response to the user query;
• and
• each of the plurality of modes of operation is (i) associated with a corresponding set of data processing models and (ii) has a corresponding architecture;
• generate a set of instructions for the data processing system to process the user query based on the task and the mode of operation;
• cause execution of the data processing system based on the mode of operation and the set of instructions;
• receive, from the data processing system, a response to the user query;
• and
• display, on the user interface, output data associated with the response.