Instabase, Inc.

Hariharan Thirugnanam

Rafal Powalski

Jessica Andersen Campos

Vineeth Chinmaya Murthy

Timothy Serkes

Atinderpal Singh

Subash Chandran Thirumaran

Varun Jain

Alagu Chockalingam

Eric Han

Kikani Prashant Vinodrai

Sławomir Jan Biel

Bartosz Topolski

Systems and methods for using a machine learning model for a set of one or more documents are disclosed. Exemplary implementations may: create a set of document segments from the set of one or more documents; create a set of semantic vectors; create a query vector that semantically represents a query from a user; determine a subset of the set of semantic vectors based on at least two different comparisons involving the query vector; create a combination of the individual document segments that are associated with the subset of the set of semantic vectors; provide a prompt to the machine learning model, using the created combination of the individual document segments as context; present replies from the machine learning model, and/or perform other steps.

Systems and methods for using a large language model for large documents

Systems and methods for providing user interfaces for configuration of a flow for extracting information from documents via a large language model are disclosed. Exemplary implementations may: present a user interface configured to obtain entry of user input from a user to select a set of exemplary documents; select one or more document classifications for the set of exemplary documents; select one or more extraction fields that correspond to individual queries; navigate between different portions of the user interface; present the set of document classifications; present a particular individual document in the user interface; present a set of extraction fields in the user interface, wherein the individual extraction fields present individual replies obtained from the large language model in reply to the individual queries; and/or perform other steps.

Systems and methods for providing user interfaces for configuration of a flow for extracting information from documents via a large language model

Systems and methods for using a text-based document format to provide context for a large language model are disclosed. Exemplary implementations may: obtain an electronic source document in an electronic format; convert the electronic source document to a mark-up document in the text-based document format; obtain a large language model; fine-tune the large language model through a set of documents that are encoded in the text-based document format; provide the mark-up document to the large language model as input for user-directed extraction of information; present a user interface to a user to enable the user to control the user-directed extraction of the information from the mark-up document; and/or other steps.

Systems and methods for using a text-based document format to provide context for a large language model

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Bengaluru, India

Hariharan Thirugnanam