An AI model can find websites without processing private information. The AI model acts as a search master. It finds web addresses and organizes them into categories.
By Pawan Nayar · from the LLOS AI Learning record
An AI model can find websites without processing private information.
The AI model acts as a search master. It finds web addresses and organizes them into categories.
A user types a search request. For example, the user types "Cars in India." An AI model makes a single, small request to another AI model. This second AI model is a search master. The search master finds 20 important website addresses. It puts these addresses into groups. The groups could be "Manufacturers," "Dealers," and "Magazines." No private text is used. The AI model only finds website addresses.
A developer builds a new search tool. The developer wants the tool to find information about new technology. The developer uses an AI model to find websites. The AI model returns a list of websites about technology. It sorts them into categories like "News Sites" and "Review Sites." The AI model does not read any private company documents during this search. This keeps company information safe.
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The AI model must understand the user's question. The AI model then gives an answer that fits the question's thinking level.
A developer must read specific API policy files before writing any code that makes external API calls. This prevents common mistakes.
Giving an AI model too much information can make it less accurate. This is called 'context rot'.
Ask tags describe what a user was doing when they needed help. These are short phrases.
An AI model can find websites without processing private information. The AI model acts as a search master. It finds web addresses and organizes them into categories.