18122594. PROMPT GENERATOR FOR USE WITH ONE OR MORE MACHINE LEARNING PROCESSES simplified abstract (NVIDIA Corporation)
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 18122594 titled 'PROMPT GENERATOR FOR USE WITH ONE OR MORE MACHINE LEARNING PROCESSES
Simplified Explanation
The abstract describes apparatuses, systems, and techniques for generating a prompt for machine learning processes to perform tasks identified in the prompt by an agent.
- Machine learning processes generate a plan to perform a task identified in the prompt.
- The task is to be performed by an agent, which can be real-world or virtual.
Potential Applications
This technology could be applied in various fields such as:
- Robotics
- Autonomous vehicles
- Healthcare diagnostics
- Natural language processing
Problems Solved
This technology helps in:
- Automating tasks that require decision-making
- Improving efficiency in performing complex tasks
- Enhancing the capabilities of agents in various applications
Benefits
The benefits of this technology include:
- Streamlining processes that involve decision-making
- Enabling agents to perform tasks more effectively
- Enhancing the overall performance of machine learning systems
Potential Commercial Applications
This technology could be commercially applied in industries such as:
- Manufacturing
- Finance
- Customer service
- Transportation
Possible Prior Art
One possible prior art for this technology could be the use of machine learning algorithms to generate plans for automated systems in various applications.
Unanswered Questions
How does this technology ensure the accuracy of the generated plans?
The article does not provide details on how the accuracy of the plans generated by machine learning processes is ensured. This could be a crucial aspect to consider in real-world applications where precision is essential.
What are the limitations of this technology in terms of scalability?
The scalability of this technology is not discussed in the article. Understanding the limitations of scaling up the system for larger tasks or datasets could be important for practical implementation.
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).
