Multi-sectional user interfaces for LLM-integrated parameter selection for searches

A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform operations comprising:

• receiving a request for a search user interface from a user device;
• transmitting a search user interface to the user device for display to the user, wherein the search user interface comprises a primary section and a chat section, wherein the primary section comprises a first subsection and a second subsection, wherein the first subsection is a subsection for displaying content relating to a search of the user and the second subsection comprises parameter elements for selecting a set of parameters for the search, and wherein the chat section comprises elements for a chat interface with an automated chat system;
• receiving a selection of a set of parameters through the parameter elements of the second subsection of the primary section;
• generating a parameters data structure based on the selected set of parameters, wherein the parameters data structure is a data structure that stores values for the set of parameters that have been selected by the user through the parameter elements of the second subsection of the primary section;
• updating the first subsection of the primary section to display content based on the selected set of parameters;
• receiving text from the user through the chat section of the search user interface;
• generating a large language model prompt based on received text, wherein the large language model prompt comprises instructions to generate a chat response to the received text and to generate an updated set of parameters based on the received text, wherein the large language model prompt further comprises instructions to generate a score for an item of content based on user data associated with the user and content data associated with the item of content, and wherein the large language model prompt further comprises instructions to generate text explaining why the item of content is relevant to the user in response to the score for the item of content exceeding a threshold;
• receiving a response from the large language model, wherein the received response comprises a text for a chat response to the received text and an updated set of parameters from the large language model;
• updating the parameters data structure based on the updated set of parameters;
• updating the chat section to include the text for a chat response to the received text;
• updating the first subsection of the primary section to display content based on the updated set of parameters;
• and
• updating the parameter elements of the second subsection of the primary section based on the updated set of parameters from the response from the large language model.