Session 1

Who is known as the "Father of Artificial Intelligence"?

• Herbert Simon
• Elon Musk

• Alan Turing
• John McCarthy

Which company created ChatGPT?

• Microsoft
• OpenAI
• Google
• Amazon

What is the main goal of a recommendation system (like on Netflix or YouTube)?

• To provide users with random content regardless of their interests.
• To limit user choices to only popular content.
• To suggest relevant content to users based on their preferences.
• To display content based on the time of day rather than user preferences.

Which of the following best describes "Reinforcement Learning"?

• A type of machine learning where an agent learns to make decisions by maximizing cumulative rewards through interactions with an environment.
• A technique used in deep learning to enhance neural network performance.
• A method of supervised learning that focuses on labeled data for training.
• A process where an agent learns by imitating human behavior without rewards.

What is "Computer Vision" in AI?

• Computer Vision is a type of computer programming language.
• Computer Vision refers to the study of computer hardware design.
• Computer Vision is a method for enhancing audio signals.
• Computer Vision is a field of AI that enables machines to interpret and understand visual information.

What is the "Turing Test" used to evaluate?

• The accuracy of a machine's calculations.
• The speed of a computer's processing power.
• The efficiency of a software program's code.
• The ability of a machine to exhibit human-like intelligence.

7. Which activation function is most commonly used in hidden layers of deep neural networks today?

• Sigmoid
• Tanh
• Softmax
• ReLU

What does "overfitting" mean in Machine Learning?

• Overfitting occurs when a model is too simple and fails to capture the underlying patterns.
• Overfitting is when a model performs poorly on both training and new data due to lack of data.
• Overfitting means a model is perfectly accurate on new data but struggles with training data.
• Overfitting is when a model performs well on training data but poorly on new data due to excessive complexity.

In AI, what does "hallucination" refer to?

• In AI, 'hallucination' refers to the model's ability to enhance data accuracy.
• In AI, 'hallucination' refers to the generation of false or misleading information by a model.
• In AI, 'hallucination' describes the process of improving model training efficiency.
• In AI, 'hallucination' indicates the model's capacity to predict future events.

What is "Transfer Learning"?

• Transfer learning is a process of creating new algorithms from scratch.
• Transfer learning is a technique in machine learning where a model trained on one task is adapted for use on a different but related task.
• Transfer learning involves using data from unrelated tasks to improve performance.
• Transfer learning is a method for training multiple models simultaneously.