Customized AI Production Line Execution via Modular Interfaces
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Solution Overview
Problem
Existing artificial intelligence development platforms provide pre-defined production lines that limit customization according to specific scenarios, restricting their applicability and requiring significant research and development resources, with self-built lines struggling to be reused and integrated into larger ecosystems.
Innovation Solution
A method and apparatus for executing a customized production line on an AI development platform, using a production line executor and standardized platform interface to provide a native interactive experience, allowing for scenario-specific model customization and integration with existing infrastructure, enabling broader ecological circulation and upgrade.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pre-defined artificial intelligence production lines are used, then development efficiency is improved, but customization capability for specific scenarios deteriorates
Solution Approach 1:
The production line is divided into multiple independent modules that can be selectively combined. Each module represents a discrete functional unit that can be configured independently, allowing users to assemble customized production lines from pre-built components while maintaining development efficiency.
Solution Approach 2:
The production line configuration is made dynamic and adjustable rather than fixed. Users can modify, add, or remove modules based on specific scenario requirements, enabling the system to adapt to different customization needs while leveraging the efficiency of standardized module designs.
2Adaptability or versatility
If self-built production lines are created for customization, then adaptability to specific scenarios is improved, but device complexity and integration difficulty increase
Solution Approach 1:
Complex production lines are broken down into manageable modular components. Each module encapsulates specific functionality, reducing the complexity of individual units while enabling flexible combination to achieve comprehensive customized solutions.
Solution Approach 2:
Standardized module interfaces and protocols are designed to be universally compatible across different module types. This universality simplifies integration by providing consistent connection and communication mechanisms, reducing the complexity of assembling customized production lines.
3Quantity of substance
If pre-defined production lines are deployed, then infrastructure utilization is improved, but functional expansion capability deteriorates
Solution Approach 1:
The infrastructure is designed with universal module interfaces that can accommodate multiple functional types. Existing infrastructure resources can be utilized by deploying different functional modules on the same infrastructure, enabling both high utilization and functional expansion through module addition rather than infrastructure duplication.
Solution Approach 2:
The system allows dynamic addition and configuration of functional modules on existing infrastructure. This enables the infrastructure to adapt to expanding functional requirements while maintaining high utilization of existing resources, as new functions are added through module integration rather than requiring separate infrastructure deployments.
Data Source
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AI summary
The present disclosure relates to an apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium, and relates to the technologies of artificial intelligence and cloud platform. The customized production line is an additional development process that is different from a pre-defined development process of the artificial intelligence development platform and defined by a file set. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on the file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface so as to execute the additional development process.