Dell products l.p. (20240177024). SYSTEM AND METHOD FOR MANAGING INFERENCE MODELS BASED ON INFERENCE GENERATION FREQUENCIES simplified abstract
Contents
SYSTEM AND METHOD FOR MANAGING INFERENCE MODELS BASED ON INFERENCE GENERATION FREQUENCIES
Organization Name
Inventor(s)
OFIR Ezrielev of Beer Sheva (IL)
JEHUDA Shemer of Kfar Saba (IL)
SYSTEM AND METHOD FOR MANAGING INFERENCE MODELS BASED ON INFERENCE GENERATION FREQUENCIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240177024 titled 'SYSTEM AND METHOD FOR MANAGING INFERENCE MODELS BASED ON INFERENCE GENERATION FREQUENCIES
Simplified Explanation
The abstract describes methods and systems for managing the execution of an inference model hosted by data processing systems. The system includes an inference model manager and data processing systems. The manager identifies the inference frequency capability of the model and determines if it meets the requirement of a downstream consumer. If not, the manager modifies the deployment of the model to meet the consumer's requirement.
- Explanation of the patent/innovation:
- - Inference model manager oversees execution of inference models on data processing systems
- - Identifies and evaluates the inference frequency capability of the model
- - Modifies deployment of the model to meet downstream consumer's requirements
Potential applications of this technology: - Data analytics - Predictive maintenance - Fraud detection
Problems solved by this technology: - Ensuring inference models meet consumer requirements - Optimizing deployment of inference models - Managing execution of inference models efficiently
Benefits of this technology: - Improved accuracy of inference models - Enhanced performance of data processing systems - Increased satisfaction of downstream consumers
Potential commercial applications of this technology: - Cloud computing services for data analytics - AI-driven solutions for businesses - Predictive maintenance software for industrial applications
Possible prior art: - Prior art in managing inference models on data processing systems - Existing systems for optimizing deployment of machine learning models
Questions: What are the specific methods used by the inference model manager to modify the deployment of the inference model? Answer: The specific methods used by the inference model manager to modify the deployment of the inference model may include adjusting the processing resources allocated to the model, optimizing the scheduling of inference tasks, or reconfiguring the model parameters to meet the frequency requirement of the downstream consumer.
How does the system ensure the security and privacy of the data processed by the inference model? Answer: The system may incorporate encryption techniques, access control mechanisms, and data anonymization methods to ensure the security and privacy of the data processed by the inference model. Additionally, compliance with data protection regulations and industry standards may be implemented to safeguard sensitive information.
Original Abstract Submitted
methods and systems for managing execution of an inference model hosted by data processing systems are disclosed. to manage execution of the inference model, a system may include an inference model manager and any number of data processing systems. the inference model manager may identify an inference frequency capability of the inference model hosted by the data processing systems and may determine whether the inference frequency capability of the inference model meets an inference frequency requirement of a downstream consumer during a future period of time. if the inference frequency capability does not meet the inference frequency requirement of the downstream consumer, the inference model manager may modify a deployment of the first inference model to meet the inference frequency requirement of the downstream consumer.
