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How to achieve quality assessment and error localization for multimodal AI applications?

2025-08-27 375
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Technology realization path

For multimodal scenarios such as text/image/video, Future AGI's solutions include:

  • Cross-modal consistency detection: The platform's proprietary evaluation model analyzes graphic relevance (e.g., detecting whether image descriptions accurately reflect image content) and identifies intermodal contradictions.
  • Tiered assessment system: inEvaluateModules are set up with check items at different granularities, including basic level (image resolution/text syntax), semantic level (content relevance) and application level (business compliance)
  • Tracing Dashboard: Interactive visualization tool that displays the entire chain of multimodal processing, down to the time and quality metrics of each modal transition.

Operation Guide

For video comprehension applications, it is recommended to configure the following detection chain: 1) Use the帧采样分析Ensure keyframe capture is complete 2) Setting时序连贯性Evaluation item to check scene switching rationality 3) Enable安全护栏Filtering of violent/sensitive content. The platform supports the filtering of violent/sensitive content throughJSON模板Deploy this inspection process with one click.

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