Which emerging technique in natural language processing aims to generate human-like text by predicting the next word or sequence of words based on context?

• Word Embeddings

• BERT (Bidirectional Encoder Representations from Transformers)

• GPT (Generative Pre-trained Transformer)

• Attention Mechanism

Which type of AI learns from data without being explicitly programmed, mimicking the human learning process?

• Symbolic AI

• Machine Learning

• Rule-based AI

• Natural Language Processing (NLP)

What is the Turing test used to determine?

• Machine efficiency

• Software functionality

• Human-like intelligence in machines

• Algorithmic complexity

Deep learning is a subfield of AI that utilizes:

• Logic and reasoning

• Artificial neural networks inspired by the brain

• Rule-based decision making

• Statistical analysis

The term "unsupervised learning" in AI refers to:

• Learning from labeled data

• Learning patterns from unlabeled data

• Programming specific rules

• Human-computer interaction

What is a common challenge faced in developing robust AI systems?

• Limited processing power

• Difficulty in data acquisition

• Ethical considerations around bias

• All of the above

What is the name of the famous chess-playing computer program defeated by Garry Kasparov in the 1990s?

• Watson

• AlphaGo

• Deep Blue

• Racter

What is the term used for a software agent that learns and improves its performance over time through interaction with its environment?

• Knowledge Base

• Expert System

• Intelligent Agent

• Reinforcement Learning Agent

Natural Language Processing (NLP) is a subfield of AI concerned with:

• Computer vision

• Understanding and manipulating human language

• Robotics and physical manipulation

• Planning and decision-making for AI agents

What is the ethical concern surrounding facial recognition technology developed using AI?

• Lack of transparency in algorithms

• Potential for bias and discrimination

• Data privacy issues

• All of the above