Exam AI-102 topic 3 question 79 discussion

List: fixed, close set of related words

It shoul be LIST

D. List https://learn.microsoft.com/en-us/azure/ai-services/luis/reference-entity-list?tabs=V2 Suppose the app has a list, named Cities, allowing for variations of city names including city of airport (Sea-tac), airport code (SEA), postal zip code (98101), and phone area code (206). List item Item synonyms Seattle sea-tac, sea, 98101, 206, +1 Paris cdg, roissy, ory, 75001, 1, +33 book 2 tickets to paris In the previous utterance, the word paris is mapped to the paris item as part of the Cities list entity. The list entity matches both the item's normalized name as well as the item synonyms.

LIST entity

USing a list entity allows you to define a set of values and their synonyms which will help minimize the number of utterances needed to train the model. Hence the answer must be: D) List

Pattern, you can use this to summarise multiple utterances into intents

"Patterns are designed to improve accuracy when multiple utterances are very similar. A pattern allows you to gain more accuracy for an intent without providing several more utterances." So, it has to be pattern. The only one in the list is Pattern.Any. Looks like the MIcrosoft guy just read this line and made the question and randomly chose a pattern type

Copied entire question to Copilot, and Copilot says D. To minimize the number of utterances used to train the model, you should use a list entity. List entities allow you to define a list of values (such as airport names or codes) and associate them with a single entity. This way, you can handle multiple similar utterances with a single entity reference, making your model more efficient and concise.

Pattern.any according to Copilot

Answer is A according to ChatGPT

A. Pattern Any From: https://learn.microsoft.com/en-us/azure/ai-services/luis/concepts/patterns-features#patternany-entity For Airports this means: You can exrpess the Airport Name in Full as "John F. Kennedy International Airport" or in short with the code as "JFK" LUIS will have to get both as the same

as per chat gpt: To minimize the number of utterances used to train the model while dealing with similar utterances containing airport names or airport codes, you should use a custom entity that can generalize the variations of the entities within the utterances. The correct choice in this scenario is Pattern.any. Pattern.any is used in Language Understanding (LUIS) to handle cases where you have a specific pattern in the utterances, but the specific instances of an entity (like airport names or codes) can vary widely. By using Pattern.any, you can define a pattern that recognizes and extracts any airport name or code without needing to provide all possible variations in the training data. Therefore, the most suitable option is: A. Pattern.any