Dell products l.p. (20240177179). SYSTEM AND METHOD FOR MANAGEMENT OF INFERENCE MODELS OF VARYING COMPLEXITY simplified abstract
Contents
- 1 SYSTEM AND METHOD FOR MANAGEMENT OF INFERENCE MODELS OF VARYING COMPLEXITY
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR MANAGEMENT OF INFERENCE MODELS OF VARYING COMPLEXITY - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
SYSTEM AND METHOD FOR MANAGEMENT OF INFERENCE MODELS OF VARYING COMPLEXITY
Organization Name
Inventor(s)
OFIR Ezrielev of Beer Sheva (IL)
JEHUDA Shemer of Kfar Saba (IL)
SYSTEM AND METHOD FOR MANAGEMENT OF INFERENCE MODELS OF VARYING COMPLEXITY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240177179 titled 'SYSTEM AND METHOD FOR MANAGEMENT OF INFERENCE MODELS OF VARYING COMPLEXITY
Simplified Explanation
The patent application describes methods and systems for timely execution of inference models hosted by data processing systems. The system includes an inference model manager and data processing systems that can handle inference models of varying complexity. The manager analyzes system and consumer information to update the execution plan and distribution of inference models.
- Inference models hosted by data processing systems
- System includes an inference model manager and data processing systems
- Manager analyzes system and consumer information
- Updates execution plan and distribution of inference models
Potential Applications
This technology can be applied in various industries such as healthcare, finance, and e-commerce for real-time decision-making, predictive analytics, and personalized recommendations.
Problems Solved
1. Efficient execution of inference models with varying complexities 2. Timely deployment of inference models to meet consumer needs
Benefits
1. Improved performance of data processing systems 2. Enhanced accuracy of inference models 3. Better utilization of resources
Potential Commercial Applications
Optimizing resource allocation in cloud computing systems
Possible Prior Art
One possible prior art could be the use of load balancing algorithms in distributed systems to optimize resource utilization and improve system performance.
Unanswered Questions
How does this technology handle dynamic changes in system requirements?
The patent application does not provide details on how the system adapts to changing consumer needs and system conditions.
What security measures are in place to protect the inference models and consumer data?
The patent application does not address the security aspects of hosting inference models on data processing systems.
Original Abstract Submitted
methods and systems for timely execution of inference models hosted by data processing systems are disclosed. to manage inference models hosted by data processing systems, a system may include an inference model manager and any number of data processing systems. the inference models may include inference models with higher complexity topology and inference models with lower complexity topology. the data processing systems may be provided with instructions for when to execute higher complexity topology inference models and when to operate lower complexity topology inference models. the inference model manager may analyze data processing system information and downstream consumer information to determine whether the current deployment of inference models to the data processing systems is capable of meeting the needs of a downstream consumer. based on the analysis, an execution plan for the inference models and the distribution of inference models may be updated.
