Maplebear Inc.

Riddhima Sejpal

Sharath Rao Karikurve

Benjamin Knight

Camille Van Horne

Mingzhe Zhuang

Maksim Golivkin

Djordje Gluhovic

Christopher Rudnick

Chris Jenkins

Shishir Kumar Prasad

Prithvishankar Srinivasan

Sharath Rao

Shih-Ting Lin

Victoriya Andonova

Luis Manrique

Viktoriya Andonova

Ben Knight

Embodiments relate to utilizing a language model to automatically generate a novel recipe with refined content, which can be offered to a user of an online system. The online system generates a first prompt for input into a large language model (LLM), the first prompt including a plurality of task requests for generating initial content of a recipe. The online system requests the LLM to generate, based on the first prompt input into the LLM, the initial content of the recipe. The online system generates a second prompt for input into the LLM, the second prompt including the initial content of the recipe and contextual information about the recipe. The online system requests the LLM to generate, based on the second prompt input into the LLM, refined content of the recipe. The online system stores the recipe with the refined content in a database of the online system.

Using language model to generate recipe with refined content

Based on orders fulfilled by shoppers of an online concierge system, the online concierge system identifies items in an order that are difficult to find in a warehouse in which the order is fulfilled. When a shopper obtains a difficult to find item from the warehouse, the online concierge system prompts the shopper to provide information for finding the difficult to find item in the warehouse. The online concierge system stores the information for finding the difficult to find item from the shopper in association with the difficult to find item and with the warehouse. Subsequently, when a different shopper is fulfilling an order from the warehouse including the difficult to find item, the online concierge system displays the information for finding the difficult to find item in the warehouse to the different shopper.

Providing information for locating an item within a warehouse from a shopper to other shoppers retrieving the item from the warehouse

Growing community of inventors

Dublin, CA, United States of America

Riddhima Sejpal