Model Evaluation Strategy Selection for Faster AI Iteration
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Solution Overview
Problem
The inefficiency and repetitive nature of large model evaluation processes, particularly in optimizing and updating, hinder development and optimization efficiency, necessitating a more streamlined evaluation strategy selection and execution method.
Innovation Solution
A model evaluation system that allows users to select from a plurality of evaluation strategies, utilizing a strategy system to create, deploy, and execute evaluation strategies efficiently, leveraging cloud computing services like FaaS for scalable and isolated execution, thereby reducing development cycles and improving evaluation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional model evaluation processes are used, then model performance can be assessed, but the evaluation process is inefficient and repetitive, hindering development and optimization efficiency
Solution Approach 1:
The patent segments the model evaluation process into independent, reusable evaluation strategies that can be selected and executed separately. Each evaluation strategy is defined as a distinct unit with specific evaluation goals, methods, and metrics, allowing the overall evaluation process to be divided into manageable segments that can be optimized independently.
Solution Approach 2:
The patent implements preliminary action by pre-defining multiple evaluation strategies with all necessary configurations, parameters, and execution logic before actual model evaluation. These strategies are stored in a strategy library and can be directly selected and executed, eliminating the need to reconfigure evaluation processes for each model assessment.
2Adaptability or versatility
If multiple evaluation strategies are implemented, then model evaluation flexibility and accuracy improve, but system complexity increases
Solution Approach 1:
The patent creates a universal evaluation strategy management system that can handle multiple different evaluation strategies through a unified interface and framework. The strategy library and selection mechanism provide multi-functionality, allowing the same system infrastructure to support diverse evaluation approaches without requiring separate systems for each strategy.
Solution Approach 2:
The patent introduces an intermediary layer in the form of a strategy management system that mediates between the user and the complex evaluation strategies. This intermediary handles strategy selection, configuration, and execution, shielding users from the underlying complexity while providing access to multiple evaluation approaches.
3Manufacturing precision
If manual evaluation strategy configuration is used, then customization is possible, but the process is repetitive and time-consuming
Solution Approach 1:
The patent implements copying by creating reusable evaluation strategy templates that can be replicated and applied to multiple models. Once an evaluation strategy is defined with specific metrics, methods, and parameters, it can be copied from the strategy library and applied to different models without manual reconfiguration, ensuring consistent and accurate evaluation while reducing repetitive work.
Data Source
AI summary
Embodiments of the present disclosure relate to a model evaluation method and apparatus, an electronic device, and a computer program product. The method includes sending a request for executing a selected evaluation strategy based on a user input indicating a selection, from a plurality of evaluation strategies, of the evaluation strategy for evaluating a target model. In addition, the method further includes obtaining an execution result of the request, where the execution result includes at least an evaluation result of the target model.