NCA-AIIO Question 19
Select 3A company is designing an AI-powered customer support system. The solution involves classifying customer inquiries into predefined categories, training a model on historical data, and then fine-tuning the system with large datasets using neural networks for better accuracy. Which of the following correctly differentiates the concepts used in this AI system?
- A
AI refers to the overall system that enables the automation of customer support tasks.
- B
Machine learning is used to train the model on historical customer inquiry data.
- C
Deep learning involves the use of neural networks for fine-tuning and improving the model's accuracy.
- D
AI and machine learning are interchangeable terms for systems that use data to make decisions.
- E
Deep learning is a broader concept than machine learning and encompasses all AI tasks.
Show answer and explanation
Correct answers: A, B, C
Explanation
This question assesses the candidate's ability to differentiate AI, machine learning, and deep learning concepts in a real-world scenario. AI is the overarching field, while machine learning and deep learning are subsets within it. Machine learning trains models on data, and deep learning uses neural networks to improve performance on complex datasets. Understanding these distinctions is critical for designing AI-driven solutions effectively.
- A. Correct.
Correct: AI is the overarching concept that encompasses the entire customer support automation system, not just specific algorithms or models.
- B. Correct.
Correct: Machine learning is specifically used to train the model on historical data, enabling it to learn patterns and classify inquiries effectively.
- C. Correct.
Correct: Deep learning, a subset of machine learning, uses neural networks to enhance the model's performance, especially on large and complex datasets.
- D. Incorrect.
Incorrect: AI and machine learning are not interchangeable. Machine learning is a subset of AI that focuses on learning from data to make predictions or decisions.
- E. Incorrect.
Incorrect: Deep learning is a subset of machine learning, not a broader concept. It focuses on neural networks for tasks requiring high levels of accuracy and complexity.