Understanding AI Prompting Basics

What does AI stand for in the context of technology?

• Automated Intelligence

• Artificial Intelligence

• Advanced Integration

• Algorithmic Insight

Which of the following is a common application of AI in everyday life?

• Weather forecasting

• Cooking recipes

• Manual data entry

• Handwriting analysis

Identify the primary function of machine learning within AI.

• To create hardware components

• To enable systems to learn from data

• To design user interfaces

• To manage network security

Explain how natural language processing (NLP) is used in AI applications.

• It translates languages in real-time.

• It analyzes and generates human language.

• It creates visual art from text.

• It manages databases.

Which of the following best describes supervised learning in machine learning?

• Learning without labeled data

• Learning with labeled data

• Learning through trial and error

• Learning from unstructured data

If a chatbot is designed to answer customer queries, which AI technique is primarily being utilized?

• Image recognition

• Natural language processing

• Reinforcement learning

• Predictive analytics

How can AI improve decision-making in businesses?

• By eliminating all human input

• By providing data-driven insights and predictions

• By increasing the number of employees

• By automating all tasks

Consider a scenario where an AI model predicts housing prices based on various features. What type of machine learning is this an example of?

• Clustering

• Classification

• Regression

• Reinforcement learning

What is the significance of training data in machine learning?

• It is used to test the model's performance.

• It helps the model learn patterns and make predictions.

• It is irrelevant to the learning process.

• It is only used for data storage.

In the context of AI ethics, what is a major concern regarding algorithmic bias?

• Algorithms can be too complex to understand.

• Algorithms may perpetuate existing societal biases.

• Algorithms are always accurate and fair.

• Algorithms require constant human supervision.