AIF-C01 Question 3
Select 3A company wants to implement an AI-powered chatbot to assist customers with their product inquiries. The team discusses terms like supervised learning, natural language processing (NLP), and inference. Which of the following correctly explains these AI concepts in this context?
- A
Supervised learning involves training the chatbot using labeled customer queries and responses.
- B
Natural Language Processing (NLP) is the technology that enables the chatbot to understand and generate human-like text.
- C
Inference refers to the chatbot using its trained model to respond to customer queries in real-time.
- D
Supervised learning is the process where the chatbot improves its responses automatically without any labeled data.
Show answer and explanation
Correct answers: A, B, C
Explanation
Supervised learning, Natural Language Processing (NLP), and inference are fundamental AI concepts relevant to building an AI-powered chatbot. Supervised learning uses labeled datasets for training, NLP enables understanding and generating human language, and inference allows the chatbot to apply its trained model to provide responses in real-time. Understanding these concepts is crucial for implementing AI solutions.
- A. Correct.
Correct. Supervised learning relies on labeled datasets, such as customer queries and corresponding appropriate responses, to train an AI model.
- B. Correct.
Correct. NLP is a branch of AI that focuses on enabling machines to understand, interpret, and generate human language, which is essential for a chatbot.
- C. Correct.
Correct. Inference refers to the process where the trained model is applied to new inputs, such as customer queries, to produce outputs (responses) in real-time.
- D. Incorrect.
Incorrect. This describes unsupervised learning, not supervised learning. Supervised learning requires labeled data for training.