Microsoft Technology Licensing, LLC

Skyler Mark Goodell

Gabriel Takacs

Gavin Dean Lazarow

Ali Reza Emami

Alexander A Babanov

Rasika Mudumbai Chakravarthy

Daniel Fabian

Jakub Piotr Kotynia

Jason Christopher Tan

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 multiple prompts based on the natural language input and a portion of the spreadsheet and determines an order in which to input the prompts to an LLM service. The application service determines an order in which to input the prompts to an LLM service, then inputs the prompts to the LLM service according to the determined order.

Prompt chaining for LLM integrations in spreadsheet environments

One example provides a computing device configured to capture, via the camera, first image data imaging a first physical world location, create a first spatial representation of the first physical world location based on the first image data, receive a user input defining a pose of a first virtual spatial anchor point relative to a feature imaged in the first image data, track user movement to a second physical world location, capture second image data imaging the second physical world location, receive a user input defining a pose of a second virtual spatial anchor point relative to a feature imaged in the second image data, and send, to a remote computing device, data representing the first spatial representation, the pose of first spatial anchor point, the second spatial representation, the pose of second spatial anchor point, and a positional relationship between first and second spatial anchor points.

Connecting spatial anchors for augmented reality

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Bothell, WA, United States of America

Skyler Mark Goodell