The following list contains the sources for this module:
- Machine learning versus Deep Learning versus Foundational Models(opens in a new tab). IBM Technology (YouTube video).
- What are large language models?(opens in a new tab) IBM (blog).
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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