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Built by Mininglamp Technology, Mingjing MLLM leveraging unique industry data such as objective elements, eye-tracking, brainwave, etc., helps to understand how viewers feel and react, gather subjective and objective insights, and generate more effective ads.
Mingjing MLLM makes it possible to capture personalized metrics in marketing campaigns, marketers can create more engaging content that truly resonates with their target audience. This enhances brand loyalty and reduces advertising costs.
Mingjing Multi-modal Large Language Model-Beyond foundation model
Break down the ad video into different scenes, allowing for a more detailed analysis of objective content and subjective indicators based on audience profiles.
Content Monitor case: Analyze Volvo AD with a click
Built with unique industry data including objective elements, eye-tracking, brainwave, etc., Mingjing MLLM supports subjective content analysis and simulation of objective indicators.
All People: cognitive, neutral, medium proportion
28-year-old female: non-cognitive, positive, medium proportion
Overview of HMLLM
HMLLM structure uses hypergraphs to link video elements, EEG signals, and eye-tracking data. It has created a video-SME dataset, which captures real-time EEG and eye-tracking data from people watching ads, helping understand how viewers feel and react.
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