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How Peekaboo combines AI models for visual quizzing?

2025-08-21 420

Peekaboo implements intelligent visual questioning and answering (VQA) through the following steps:

1. Model configuration::
Support for locally deployed Ollama models (e.g., llava/qwen2-vl) or cloud APIs. in the case of the local model, you need to run the brew install ollama Install the service by ollama pull llava:latest Download the visual model and finally specify the model path in the Peekaboo configuration file.

2. Question and answer process::
Execute commands such as peekaboo capture screen --question 'What is on the screen?' --output result.json, tools will:
① Capture screen images in real time → ② Submit images and questions to the configured AI model → ③ Generate JSON files containing answers (with image references and analysis results)

3. Technical characteristics::
- low latency: Local model processing without web requests
- multimodal understanding: Models can parse complex content such as text, charts, etc.
- Highly scalable: Adapt to different scenarios by replacing the model, such as code analysis can be used to select professional programming model.

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