Course Content
Introduction to Artificial Intelligence
About this learning activity Less than a century old, artificial intelligence (AI) has already undergone three waves of transformative development. Today it gives humanity the most powerful tools for analyzing complex data, not only to find meaning but to learn without human intervention. In this course, you'll survey AI's history and explore ways that it can shed light on unstructured data. What you'll learn After completing this course, you should be able to: Define artificial intelligence Describe three levels of artificial intelligence Describe the history of AI from the past to the possible future Define and describe machine learning Differentiate between structured and unstructured data Describe how machine learning structures data Describe how machine learning structures unstructured data Describe how machine learning uses probabilistic calculation to solve problems Describe three methods by which machine learning analyzes data Describe an ideal relationship between humans and machine learning
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Introduction to Large language models
Welcome to Introduction to Large Language Models! In this module, you'll learn what large language models are, how they work, and some typical business applications. Estimated duration 30 minutes
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IBM – Getting Started with Artificial Intelligence

It turns out that in fields, ranging from medicine and education to social studies and government, the best decisions are made using a balance of human and machine strengths. But remember, there is another elusive but vital capability that must also be considered: common sense. You might know people with strong common sense and understand its value. You also might have seen or read output from machines that makes no sense. Yet, there’s a contribution to be made from both sides.

 

Common sense draws on many complex generalizations mixed with compassion and abstractions. At this time, only humans can use common sense well. The problem is that common sense is often tainted with bias that can distort your judgment. AI systems can balance this. As long as AI systems are provided and trained with unbiased data, they can make recommendations that are free of bias. A partnership between humans and machines can lead to sensible decisions. 

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