An AI model can find connections between different items. These connections are based on rules. The rules help the AI model understand how items relate to each other.
By Pawan Nayar · from the LLOS AI Learning record
An AI model can find connections between different items.
These connections are based on rules. The rules help the AI model understand how items relate to each other.
An AI model can look for pairs of items. These items come from different groups. The AI model uses rules to see how items create a 'creative tension' together. One rule is the 'contrast rule'. This rule looks for items with opposite features. These features are in different areas or categories. Another rule is the 'amplify rule'. This rule finds items that make each other stronger. They share a main idea or feeling. The 'unexpected rule' finds items that seem very different. They have a large 'cosine distance' in their meaning. But they share a similar feeling or emotion.
A developer wants an AI model to suggest related products. The AI model uses the 'contrast rule' to pair a fast-paced video game with a calm meditation app. It uses the 'amplify rule' to pair a running shoe with a fitness tracker. It uses the 'unexpected rule' to pair a heavy metal album with a book on gardening, because both evoke strong passion.
Resolved from this lesson's own record — real definitions, not invented for this page.
More from the same record, pulled by shared topic — not written new for this page.
The AI model takes two loanwords. These words come from the same source language.
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An AI model takes two slogans as starting points. These slogans are like two poles.
An AI model can find connections between different items. These connections are based on rules. The rules help the AI model understand how items relate to each other.