US 2024/0202584 A1 · MACHINE LEARNING INSTANCING

Abstract

Aspects of the present disclosure relate to machine learning instancing, where an instance of an agent (e.g., including processing of user input by a machine learning model to generate model output) is encapsulated as an agent object. In examples, an agent object is stored as a file, as a document, and/or in a database, among other examples. An agent object includes a persona definition and/or an object embedding memory, thereby defining various aspects of the agent. Thus, an agent object permits portability the agent, for example between users, across contexts, and/or for a variety of subsequent processing, among other examples.

Claims20

Dependent claims

A system comprising:

at least one processor;
and
memory storing instructions that, when executed by the at least one processor, cause the system to perform a set of operations, the set of operations comprising:
obtaining user input to an agent, wherein a persona of the agent is defined by an agent object;
extracting an intent for the user input;
determining, based on the extracted intent, context from an embedding object memory of the agent object;
obtaining, based on the determined context, model output corresponding to the user input;
and
providing the model output in response to the obtained user input.

6 more elements

Dependencies are inferred from the claim text.

Machine learning instancing

Life of this patent

Machine learning instancing

Life of this patent

Abstract

Claims20