Use these questions to help you prepare for assessments or exams. Note that these questions are not specifically the ones that will be on either the assessment or exam; the goal of answering these is for you to go back into the readings and gain a deeper understanding.
- What is Natural Language Processing and what’s the goal of it?
- AI has many models, but what is a language model? Have you interacted with this before? What was its primary function?
- Does Machine Learning require human interaction in its learning process?
- What does it mean for an AI model to use unsupervised learning?
- What two things does Deep Learning use to create its own learning process?
- What is the Turing Test and what is its purpose?
- Artificial General Intelligence (AGI) is a hypothetical type of AI that has not been made yet. What would AGIs be designed to do?
- Since humans make AI systems, we can accidentally give it our own assumptions and prejudices, a.k.a our biases. From this, what is AI Bias?
- How might Data Governance be used in AI implementation?
- When it comes to training itself or real-life business uses, will AI systems analyze large or small data sets? Can you think of a reason why?
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