AI-900 Question 215
Select 2A company wants to implement a chatbot for their customer support system and ensure it can understand and generate human-like text responses. Which of the following are features or uses of language modeling that would be beneficial for this scenario?
- A
Generating contextually appropriate responses to customer queries
- B
Translating customer messages into different languages
- C
Understanding the intent behind customer messages
- D
Summarizing long customer complaints into concise messages
- E
Analyzing customer sentiment from the conversation
Show answer and explanation
Correct answers: A, C
Explanation
Language modeling focuses on understanding and generating human-like text. In this scenario, features like generating contextually appropriate responses and understanding intent are critical to building a functional chatbot. Other tasks like translation and sentiment analysis are related to natural language processing but are not core features of language modeling for this use case.
- A. Correct.
Language models are capable of generating text that is contextually relevant and coherent, making them suitable for producing human-like responses in a chatbot.
- B. Incorrect.
While language models can work alongside translation tools, translation is not a core feature of language modeling. It falls under the domain of machine translation.
- C. Correct.
Recognizing the intent behind text is a key feature of language modeling, as it allows the chatbot to understand the meaning and purpose of customer messages.
- D. Incorrect.
Summarization is a task related to natural language processing but is not directly tied to the core capabilities of language modeling for this scenario.
- E. Incorrect.
Analyzing sentiment is part of sentiment analysis, which is a distinct natural language processing task and not a direct feature of language modeling.