Dynamic AI Workflow Tables for Runtime Updates Without OS Changes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current AI workflow systems are limited to static workflows that require OS updates for changes, leading to challenges in managing and using AI workflows, lacking flexibility and efficiency.
Innovation Solution
A dynamic workflow system that allows AI workflows to be added, removed, or modified without OS updates, enabling instant updates and flexible access through a separate API, facilitating testing and evaluation of AI workflows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static AI workflows are used, then system stability is maintained, but flexibility and adaptability are reduced
Solution Approach 1:
The patent implements a dynamic workflow table that allows AI workflows to be added, removed, or modified at runtime without requiring OS updates. The workflow table transitions from a static structure to a dynamic one, enabling real-time changes while maintaining system stability through controlled updates and versioning mechanisms.
2Productivity
If OS updates are used to change workflows, then workflow updates are achieved, but system complexity and update overhead increase
Solution Approach 1:
The patent segments the workflow table into a dynamic structure that can be independently updated without affecting the entire OS. This allows selective updates of individual workflows or the workflow table itself, reducing update overhead and complexity compared to full OS updates.
Solution Approach 2:
The system enables preliminary testing and evaluation of AI workflows before integrating them into the active workflow table. This allows validation of new workflows in advance, reducing the risk of failures during production and simplifying the update process.
3Measurement precision
If multiple AI workflows are tested simultaneously, then workflow evaluation accuracy is improved, but system resource consumption increases
Solution Approach 1:
The patent implements a testing framework that allows evaluation of multiple AI workflows using a subset of available computational resources. The system can selectively execute workflows based on priority, importance, or configuration, enabling accurate evaluation without requiring all resources to be consumed simultaneously.
Data Source
AI summary
This disclosure describes a dynamic workflow system that provides a framework for operating dynamic AI workflow tables on client devices. For example, the dynamic workflow system facilitates the addition, removal, or modification of AI workflows from a dynamic AI workflow table without requiring an operating system (OS) update. Providing dynamic AI workflows also enables the dynamic workflow system to provide additional benefits, such as instant AI workflow updates, the use of multiple AI table versions, AI workflow testing and evaluation, and the removal of defective or inefficient AI workflows without affecting other workflows. These benefits were not feasible with existing systems. The dynamic workflow system also provides a separate API that allows for customized access to AI workflows in AI workflow tables.


