Cross-comparison test scenarios: batch execution + visualization of results
The following workflows can be used when it is necessary to evaluate the performance differences between different AI models:
- Test Case Management System: Create a special folder in the file manager to store test data (support txt/json/csv format)
- Batch run function: Select multiple connected models, right-click and select 'Parallel Test' mode
- comparison view: Results are automatically displayed categorized by model, with support for difference highlighting and scoring tags
Specific operations:
- Create a new tab in View Manager named 'Model Comparison'
- Drag the icon of the model to be tested to the workspace.
- Click the 'Share Input' button on the top toolbar
- Paste or upload test content, set execution parameters (e.g. temperature value, max token, etc.)
- Generate comparison reports using the 'Analyze Results' extension
Advanced Tip: Install the 'Benchmark' extension module to automatically record response time, token consumption and other metrics to generate performance graphs.
This answer comes from the articleOmnitool: AI enthusiast's toolbox to manage, connect and use all AI models in one desktop!The
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