AIF-C01 Question 6
Select 4A company wants to build an AI-powered chatbot to assist its customers. The chatbot should be able to understand and respond to customer queries in natural language. Which of the following AI and machine learning concepts are most relevant to developing this solution?
- A
Natural Language Processing (NLP)
- B
Computer Vision
- C
Deep Learning
- D
Large Language Models (LLMs)
- E
Training and Inferencing
Show answer and explanation
Correct answers: A, C, D, E
Explanation
To build an AI-powered chatbot capable of understanding and responding to customer queries in natural language, concepts like NLP, deep learning, LLMs, and the processes of training and inferencing are essential. NLP is the foundation for language understanding, while LLMs and deep learning provide the advanced capabilities needed for robust performance. Training and inferencing are necessary for building and deploying the chatbot. Computer Vision, however, is not applicable in this use case as it deals with visual data processing.
- A. Correct.
NLP is highly relevant because it enables the chatbot to understand and process customer queries in natural language.
- B. Incorrect.
Computer Vision is not relevant in this scenario because it is primarily focused on analyzing and processing visual data, such as images or videos.
- C. Correct.
Deep Learning is relevant because many NLP tasks, including chatbots, rely on deep learning techniques to train advanced models for language understanding.
- D. Correct.
LLMs are relevant because they are pre-trained models specifically designed to handle complex natural language tasks, making them ideal for building chatbots.
- E. Correct.
Training and inferencing are critical steps in the machine learning workflow. The chatbot will need training to learn from data and inferencing to provide real-time responses to customer queries.