Microsoft Azure AI Fundamentals (AI-900) Practice Exam

What type of AI is used to adapt and improve responses based on customer interactions in chatbots?

1. Unsupervised Learning

2. Reinforcement Learning

3. Natural Language Processing

4. Generative Models

The correct answer is: Reinforcement Learning

The type of AI that is utilized to adapt and improve responses based on customer interactions in chatbots is reinforcement learning. This approach allows systems to learn from their own actions and experiences in an environment by receiving feedback in the form of rewards or penalties. In the context of chatbots, reinforcement learning enables the system to evaluate its conversational responses and understand which interactions lead to successful outcomes (positive feedback) or unsatisfactory interactions (negative feedback). As a result, the chatbot can continuously improve its performance and make more informed decisions in future conversations, leading to better user experiences. The other options, while related to AI, serve different purposes. Unsupervised learning focuses on finding patterns or groupings in data without labeled outputs, which is not specifically aimed at adapting responses over time. Natural Language Processing is essential for enabling chatbots to understand and generate human language but does not inherently include the learning mechanism to adapt responses based on interactions. Generative models, while capable of creating new content, do not primarily focus on improving responses based on feedback from interactions in the way that reinforcement learning does.