Nvidia corporation (20240095077). PROMPT GENERATOR FOR USE WITH ONE OR MORE MACHINE LEARNING PROCESSES simplified abstract
Contents
- 1 PROMPT GENERATOR FOR USE WITH ONE OR MORE MACHINE LEARNING PROCESSES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PROMPT GENERATOR FOR USE WITH ONE OR MORE MACHINE LEARNING PROCESSES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
PROMPT GENERATOR FOR USE WITH ONE OR MORE MACHINE LEARNING PROCESSES
Organization Name
Inventor(s)
Ishika Singh of Seattle WA (US)
Arsalan Mousavian of Seattle WA (US)
Ankit Goyal of Seattle WA (US)
Jonathan Tremblay of Redmond WA (US)
Animesh Garg of Berkeley CA (US)
Valts Blukis of Kirkland WA (US)
PROMPT GENERATOR FOR USE WITH ONE OR MORE MACHINE LEARNING PROCESSES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095077 titled 'PROMPT GENERATOR FOR USE WITH ONE OR MORE MACHINE LEARNING PROCESSES
Simplified Explanation
The abstract describes apparatuses, systems, and techniques to generate a prompt for machine learning processes that can generate a plan for a task to be performed by an agent.
- Machine learning processes are used to generate plans for tasks to be performed by agents.
- The prompt initiates the machine learning processes.
- The task identified in the prompt can be performed by real-world or virtual agents.
Potential Applications
This technology could be applied in various fields such as:
- Robotics
- Autonomous vehicles
- Virtual assistants
- Process automation
Problems Solved
This technology helps in:
- Streamlining task planning processes
- Improving efficiency in task execution
- Enabling agents to perform tasks autonomously
Benefits
The benefits of this technology include:
- Increased productivity
- Enhanced decision-making capabilities
- Reduction in human intervention for task execution
Potential Commercial Applications
The technology could be commercially applied in:
- Manufacturing industries
- Logistics and supply chain management
- Healthcare for patient care automation
- Customer service for chatbots and virtual assistants
Possible Prior Art
One possible prior art could be the use of machine learning algorithms to generate plans for tasks in the field of robotics. Another could be the use of prompts to initiate machine learning processes for task planning.
What are the specific machine learning algorithms used in this technology?
The specific machine learning algorithms used in this technology are not mentioned in the abstract. Further details would be needed to determine the exact algorithms employed.
How does this technology ensure the safety and reliability of task execution by agents?
The abstract does not provide information on how this technology ensures the safety and reliability of task execution by agents. Additional details on the mechanisms in place to guarantee safety and reliability would be necessary to address this question.
Original Abstract Submitted
apparatuses, systems, and techniques to generate a prompt for one or more machine learning processes. in at least one embodiment, the machine learning process(es) generate(s) a plan to perform a task (identified in the prompt) that is to be performed by an agent (real world or virtual).
