Microsoft Technology Licensing, LLC

Daniel Fabian

Rasika Mudumbai Chakravarthy

Carina Suzana Negreanu

John Herbert Martin Williams

Alexander A Babanov

Jakub Piotr Kotynia

Jason Christopher Tan

Technology is disclosed herein for the integration of spreadsheet environments and LLM services. In an implementation, an application receives a natural language input from a user associated with a spreadsheet. The application generates a prompt based on the user input and at least a portion of the spreadsheet. The prompt includes a statement of the problem, a request for an LLM service to identify preparatory steps before generating a solution to the problem, and a request to include the preparatory steps in output that includes the solution to problem. The application service receives a reply to the prompt from the LLM service that includes the output. The application service implements the preparatory steps with respect to data in the spreadsheet and implements the solution to the problem with respect to the data in the spreadsheet.

Predicate-guided preparation for LLM integrations in spreadsheet environments

Technology is disclosed herein for an application service which interfaces with an LLM service. In an implementation, the application service receives a natural language input from a user associated with a spreadsheet. The application service generates a prompt based on the user input and at least a portion of the spreadsheet. The prompt constrains the LLM service to a domain specific to the spreadsheet based on the portion and submits the prompt to the LLM service. The application service receives a reply to the prompt from the LLM service and responds to the input based on the reply from the LLM service.

Prompt configuration for LLM integrations in spreadsheet environments

Technology is disclosed herein for the integration of spreadsheet environments and LLM services. In an implementation, an application service inputs a first prompt to a LLM service to provide a formula suggestion for a spreadsheet. The application service receives a first output from the LLM service that includes a first formula in a programming language having a syntax that does not support comments. The application service generates a second prompt instructing the LLM service to provide a chain-of-thought breakdown of the first formula and receives a second output. The second output includes a second formula in the same programming language as the first formula and multiple comments corresponding to multiple portions of the second formula.

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Wabern, Switzerland

Daniel Fabian