Nvidia corporation (20240354319). RUNTIME ALIGNMENT OF LANGUAGE MODELS IN CONVERSATIONAL AI SYSTEMS AND APPLICATIONS simplified abstract
Contents
RUNTIME ALIGNMENT OF LANGUAGE MODELS IN CONVERSATIONAL AI SYSTEMS AND APPLICATIONS
Organization Name
Inventor(s)
Jonathan Michael Cohen of Mountain View CA (US)
Christopher Marc Parisien of Toronto (CA)
Traian-Eugen Rebedea of Bucharest (RO)
RUNTIME ALIGNMENT OF LANGUAGE MODELS IN CONVERSATIONAL AI SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240354319 titled 'RUNTIME ALIGNMENT OF LANGUAGE MODELS IN CONVERSATIONAL AI SYSTEMS AND APPLICATIONS
The patent application describes systems and techniques for providing dynamic, configurable, runtime model alignment for language models using a formal modeling language. In one embodiment, a dialog flow is determined based on user input and executed using a language model to generate an output. The dialog flow, specified in a formal modeling programming language, controls the output of the language model.
- Language models are aligned dynamically and configured at runtime using guardrails.
- Dialog flows are determined based on user input and executed to generate outputs.
- Formal modeling programming language is used to specify dialog flows and control language model outputs.
Potential Applications:
- Natural language processing
- Conversational AI systems
- Chatbots and virtual assistants
Problems Solved:
- Ensuring accurate and relevant outputs from language models
- Improving the efficiency of dialog flows in language processing systems
Benefits:
- Enhanced user experience with more precise responses
- Increased efficiency in language model alignment and execution
Commercial Applications: Dynamic language model alignment technology can be applied in various industries such as customer service, healthcare, and education to improve communication and interaction with users.
Questions about Dynamic Language Model Alignment: 1. How does the formal modeling programming language enhance the control of language model outputs? 2. What are the potential challenges in implementing dynamic, configurable model alignment in language processing systems?
Original Abstract Submitted
systems and techniques are described related to providing dynamic, configurable, runtime model alignment—in the form of guardrails, in embodiments—for language models (such as llms) using a formal modeling language. in at least one embodiment, a dialog flow is determined based on a user input and executed using a language model to generate an output. the dialog flow is specified in a formal modeling programming language and controls output of the language model.
