Introduction to Artificial Intelligence

How are Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) related to each other?

• Deep Learning (DL) is broader than Artificial Intelligence (AI) and Machine Learning (ML)

• Artificial Intelligence (AI) is part of Machine Learning (ML), and Deep Learning (DL) is part of Generative AI.

• Machine Learning (ML) is part of Artificial Intelligence (AI), and Deep Learning (DL) is part of Machine Learning (ML)

• Generative AI includes all other areas, like AI, ML, and DL

What is Artificial Intelligence ?

• AI is about creating robots that can move objects

• AI is about programming computers to strictly follow a set of pre-defined rules

• AI is about making computers act intelligently, performing tasks like problem-solving and language understanding

• AI is mainly used to increase the speed of computers

What does Machine Learning (ML) do?

• Machine Learning is used to make computers calculate more accurately.

• Machine Learning teaches computers to automatically learn from data and improve their performance over time

• Machine Learning tells computers exactly what steps to take for each specific task.

• Machine Learning describes computer system with the ability to learn from examples

Why is it called “Deep Learning”?

• Because it uses multiple layers in its neural networks, allowing it to learn complex patterns.

• Because the data is stored deep within a computer’s memory.

• Because it requires deep analysis of small datasets.

• Because it involves deeply programming each step for the machine to follow.

What does “LLM” stand for in the context of AI?

• Large Logic Model

• Long Learning Matrix

• Large Language Model

• Linked Linguistic Machine

Which of the following is something Generative AI cannot do (at least not yet)?

• Generate realistic images from text descriptions.

• Compose music based on user preferences.

• Write creative stories and poems from prompts.

• Predict the future stock market with 100% accuracy.