Database search based on machine learning based language models

A non-transitory computer readable storage medium, storing instructions that when executed by one or more computer processors cause the one or more computer processors to perform steps comprising:

• receiving information describing a set of items requested by a user;
• receiving an indication via a chat interface that a particular item needs replacement;
• generating a first prompt for a machine learned language model, the first prompt configured to request the machine learned language model to identify the particular item that needs replacement, the first prompt specifying conversations performed by the user via the chat interface;
• inputting the first prompt to the machine learned language model to output a response identifying the particular item;
• generating a second prompt for the machine learned language model, the second prompt configured to request identification of one or more replacement items for the particular item;
• inputting the second prompt into the machine learned language model to output a response identifying a set of item identifiers, each item identifier identifying a corresponding replacement item in a database;
• selecting a replacement item from a database based on the set of item identifiers;
• and
• sending a message describing the selected replacement item.

A computer system comprising:

• one or more computer processors;
• and
• a non-transitory computer readable storage medium, storing instructions that when executed by the one or more computer processors cause the one or more computer processors to perform steps comprising:
• receiving information describing a set of items requested by a user;
• receiving an indication via a chat interface that a particular item needs replacement;
• generating a first prompt for a machine learned language model, the first prompt configured to request the machine learned language model to identify the particular item that needs replacement, the first prompt specifying conversations performed by the user via the chat interface;
• inputting the first prompt to the machine learned language model to output a response identifying the particular item;
• generating a second prompt for the machine learned language model, the second prompt configured to request identification of one or more replacement items for the particular item;
• inputting the second prompt into the machine learned language model to output a response identifying a set of item identifiers, each item identifier identifying a corresponding replacement item in a database;
• selecting a replacement item from a database based on the set of item identifiers;
• and
• sending a message describing the selected replacement item.