AI-900 Question 213
Single answerYou are building a customer service chatbot and want to ensure it can generate coherent and contextually appropriate responses to user queries. Which of the following features of a language model would be most relevant for this scenario?
- A
Understanding the sentiment of user queries
- B
Predicting the next word based on prior context
- C
Identifying named entities within user messages
- D
Classifying user queries into predefined categories
Show answer and explanation
Correct answer: B
Explanation
Language modeling involves predicting the next word in a sequence based on the context of previous words. This capability is essential for generating fluid, coherent, and contextually appropriate responses, making it the most relevant feature for building a chatbot capable of responding to user queries effectively.
- A. Incorrect.
Understanding sentiment is important for analyzing user emotions but does not directly help the bot in generating coherent responses.
- B. Correct.
Predicting the next word based on prior context is a key feature of language modeling and is crucial for generating coherent and contextually appropriate responses in a chatbot.
- C. Incorrect.
Identifying named entities is useful for extracting specific information, like names or dates, but it does not directly aid in generating full responses.
- D. Incorrect.
Classifying user queries into categories helps with routing or task assignment but is not the primary feature required for response generation.