Artificial intelligence model that acts as user intermediary to external artificial intelligence model api
OwnerJeffrey Thramann, Michael Lawless +1inventors
InventorsJeffrey Thramann, Michael Lawless, Pablo Calderon Rodriguez
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Abstract
A method and system for providing an intermediary AI model that interfaces with a general purpose generative AI engine (e.g., a chatbot) that improves interface with the general-purpose AI in a domain-specific environment. The intermediary AI makes use of user specific information, user preferences, domain-specific concerns, trends, and makes use of a feedback loop to improve the operation thereof.
Claims20
A system for revision of generative artificial intelligence (AI) model operators using domain specific command set modification connected to independent AI models, comprising:
- a user interface that is communicatively connected to a general-purpose AI, the user interface including a command set prompt, wherein the general-purpose AI includes a training regimen that causes the general-purpose AI to respond to command sets by predicting next characters that conform to a command set;
- and
- a domain-specific AI that receives data entered into the command set prompt and an output of the general-purpose AI, wherein the domain-specific AI includes a training regimen that causes the domain-specific AI to generate output within a limited purpose framework, the limited purpose framework including revision of the command set based on a predetermined domain of subject matter,
- wherein the user interface is configured to transmit data from the command set prompt to the domain-specific AI and the domain-specific AI is configured to generate revised command set data that is executed on by the general-purpose AI.
A method for revision of generative artificial intelligence (AI) model operators using domain specific command set modification connected to independent AI models, comprising:
- receiving, by a user interface that is communicatively connected to a general-purpose AI, a command set, wherein the general-purpose AI includes a training regimen that causes the general-purpose AI to respond to command sets by predicting next characters that conform to the command set;
- providing, the command set to a domain-specific AI, wherein the domain-specific AI includes a training regimen that causes the domain-specific AI to generate output within a limited purpose framework, the limited purpose framework including revision of command sets based on a predetermined domain of subject matter;
- revising, by the domain-specific AI, the command set based on the predetermined domain of subject matter;
- and
- providing the revised command set to the general-purpose AI for execution.
A method for revision of generative artificial intelligence (AI) model operators using domain specific command set modification connected to independent AI models, comprising:
- receiving, by a user interface that is communicatively connected to a general-purpose AI, a command set that requests generation of a musical playlist, wherein the general-purpose AI includes a training regimen that causes the general-purpose AI to respond to command sets by predicting next characters that conform to the command set;
- providing, the command set to a domain-specific AI, wherein the domain-specific AI includes a training regimen that causes the domain-specific AI to generate output within a limited purpose framework, the limited purpose framework including revision of command sets based on a predetermined domain of subject matter connected to musical playlist requests;
- revising, by the domain-specific AI, the command set based on the predetermined domain of subject matter wherein revision of the command set to includes incorporating additional parameters within the command set;
- and
- providing the revised command set to the general-purpose AI for execution.
Dependencies are inferred from the claim text.