A system needs a way to remove unwanted information. A user can mark bad phrases or words. This stops the system from processing them in the future.
By Pawan Nayar · from the LLOS AI Learning record
A system needs a way to remove unwanted information.
A user can mark bad phrases or words. This stops the system from processing them in the future.
Sometimes a computer program finds words that are not useful. These can be parts of a website like "submit" or "close". A special tool helps a user remove these words. The user can click on a word or phrase. A small window appears. The user can choose to ban the whole phrase. The user can also ban only certain words within the phrase. When a word or phrase is banned, it disappears from the screen right away. The system remembers these banned items. It sends this list to the main computer program. This program then ignores these words in the future.
An AI model is reading text from a webpage. It picks up phrases like "click here to accept cookies". A developer sees this and knows "cookies" is not important for the AI's task. The developer uses the tool to ban the word "cookies". Now, the AI model will ignore "cookies" in all future texts.
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.
Case-insensitive matching fixes only one type of duplicate. It finds 'Coffee' and 'coffee' as the same.
A developer must check all slogans in the AI model's training data. This check happens in two steps.
The phrase highlighter format is an advanced interaction type. It lets a student select a group of words.
An AI model can use a three-level sound architecture. Level 1 offers simple controls to the user.
A system needs a way to remove unwanted information. A user can mark bad phrases or words. This stops the system from processing them in the future.