A developer must create a comprehensive list of seed terms. These terms guide an AI model to find relevant images and related search queries. The list ensures the AI model gathers a wide and accurate dataset.
By Pawan Nayar · from the LLOS AI Learning record
A developer must create a comprehensive list of seed terms.
These terms guide an AI model to find relevant images and related search queries. The list ensures the AI model gathers a wide and accurate dataset.
A developer creates a 'seed taxonomy.' This is a large, organized list of words and phrases. The AI model uses these terms to search for images. The AI model also uses them to find related search queries from other platforms. This method helps the AI model collect a rich and varied dataset.
A developer needs an AI model to find images and related searches for 'food.' The developer creates a seed taxonomy. This taxonomy includes categories like 'Fine Dining,' 'Baking Bread,' 'Cooking Dinner,' and 'Morning Coffee.' The AI model uses these specific terms. It then finds many relevant images and user search queries. Without this detailed list, the AI model might miss important visual information.
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A developer must create a comprehensive list of seed terms. These terms guide an AI model to find relevant images and related search queries. The list ensures the AI model gathers a wide and accurate dataset.