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Module 1: Fundamentals of AI
Answer the following questions to check your understanding of the material covered in Module 1.
What is artificial intelligence (AI)?
What is artificial intelligence (AI)?
A
The ability of machines to perform tasks that typically require human intelligence.
B
The ability of machines to perform only simple calculations.
C
The ability of machines to produce electricity.
D
The ability of humans to perform tasks that typically require machine intelligence.
What is the difference between traditional software and AI?
What is the difference between traditional software and AI?
A
Traditional software is used for gaming purposes, while AI is used for scientific research.
B
Traditional software has a predetermined set of instructions, while AI can learn and adapt to new situations.
C
AI has a predetermined set of instructions, while traditional software can learn and adapt to new situations.
D
There is no difference between traditional software and AI.
What is machine learning?
What is machine learning?
A
A type of AI that enables machines to understand, interpret, and generate human language.
B
A type of AI that involves creating machines that can simulate human intelligence.
C
A type of AI that involves the use of statistical models and algorithms to enable machines to improve their performance on a task as they are exposed to more data.
D
A type of AI that only works with images.
What is natural language processing (NLP)?
What is natural language processing (NLP)?
A
A type of AI that enables machines to understand, interpret, and generate human language.
B
A type of AI that involves creating machines that can simulate human intelligence.
C
A type of AI that involves the use of statistical models and algorithms to enable machines to improve their performance on a task as they are exposed to more data.
D
A type of AI that only works with numbers.
What is model training?
What is model training?
A
The process of designing an algorithm that can process data.
B
The process of discovering patterns in large datasets.
C
The process of using data to train an AI model to perform a specific task.
D
The process of selecting a set of predetermined rules for an AI model.
What is the difference between expert AI systems and generative AI systems?
What is the difference between expert AI systems and generative AI systems?
A
There is no difference between expert AI systems and generative AI systems.
B
Expert AI systems only work with images, while generative AI systems only work with text.
C
Expert AI systems are capable of generating new content, while generative AI systems use a set of predetermined rules and heuristics to make decisions based on a given set of inputs.
D
Expert AI systems use a set of predetermined rules and heuristics to make decisions based on a given set of inputs, while generative AI systems are capable of generating new content.
What is the importance of data collection in creating AI systems?
What is the importance of data collection in creating AI systems?
A
To ensure that the data you collect is representative of the problem you are trying to solve.
B
To ensure that the AI system is tailored to the specific problem that it is trying to solve.
C
To ensure that the AI system only works with data collected from a specific group of people.
D
To ensure that the AI system is self-improving.
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