2.1 Study Guide and Terms
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Read the chapter thoroughly.
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Review the study guide to make sure you’ve hit all of the concepts and key terms (no skills taught in this chapter).
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Take the quiz at the end of the chapter.
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Engage with the course-bot.
Here are some basic slides your instructor may build off of for lectures. If you are in a lectured section of the course, your instructor will probably customize these slides.
At the end of this chapter (or by the end of the course), you should know the following:
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Concepts: be able to explain these topics or provide answers to each of these questions.
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What is the origin and evolution of artificial intelligence?
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What applications and systems leverage AI?
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What considerations do we need to make regarding privacy, security, and ethics when using AI personally and for business?
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Which models are best suited to different categories of tasks?
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Key terms: understand the meaning of each of these terms.
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Artificial intelligence (AI)
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Machine learning (ML)
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Large language models (LLM)
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False positives (AI hallucinations)
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Prompt Engineering
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Skills: be able to do the following.
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Craft precise prompts (single, iterative, or serial/chain) to obtain usable (valid and relevant) output.
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Leverage AI to complete assignments in this course.
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Leverage AI to learn the concepts and skills taught in this course.
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Effectively collaborate with AI as you build technical solutions to business problems (a.k.a. "vibe coding").
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Use AI to go far beyond (laterally--to other topics, and vertically--deeper in course topics) what we teach you in this class.
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