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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About this course
Course design
Module 1 What is artificial intelligence?
What is AI?
Reflection: What do you think?
What is the difference between AI and augmented intelligence?
What does AI do?
What predictions can AI make?
How is AI evolving?
Match each scenario to the level of AI.
Quiz
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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Learning objectives
About this lesson: Large language model basics
What are large language models?
How large language models work
Quiz LLM
Points to remember
Explore more IBM resources!
IBM References
IBM – Getting Started with Artificial Intelligence

Computer scientists have identified three levels of AI based on predicted growth in its ability to analyze data and make predictions. They call these levels:

  • Narrow AI
  • Broad AI
  • General AI

As shown in the following graphic, Narrow AI, and Broad AI are available today. In fact, most enterprises use Broad AI. General AI won’t come online until sometime in the future.

 

levels of AI

Narrow AI
  • Narrow AI is focused on addressing a single task such as predicting your next purchase or planning your day. 
  • Narrow AI is scaling very quickly in the consumer world, in which there are a lot of common tasks and data to train AI systems. For example, you can buy a book with a voice-based device. 
  • Narrow AI also enables robust applications, such as using Siri on an iPhone, the Amazon recommendation engine, autonomous vehicles, and more. Narrow AI systems like Siri have conversational capabilities, but only if you stick to the script.
Broad AI
  • Broad AI is a midpoint between Narrow and General AI. 
  • Rather than being limited to a single task, Broad AI systems are more versatile and can handle a wider range of related tasks. 
  • Broad AI is focused on integrating AI within a specific business process where companies need business- and enterprise-specific knowledge and data to train this type of system. 
  • Newer Broad AI systems predict global weather, trace pandemics, and help businesses predict future trends.
General AI
  • General AI refers to machines that can perform any intellectual task that a human can. 
  • Currently, AI does not have the ability to think abstractly, strategize, and use previous experiences to come up with new, creative ideas as humans do, such as inventing a new product or responding to people with appropriate emotions. And don’t worry, AI is nowhere near this point.

There might be another level, known as artificial superintelligence (ASI) that could appear near the end of this century. Then machines might become self-aware! Even then, no levels of AI are expected to replace or dominate you. Instead, scientists hope AI will extend humans’ ability to lead richer lives.

Ray Kurzweil, a noted futurist, has said:

Our technology, our machines are part of our humanity. We create them to extend ourselves and that is what is unique about human beings.

Ray Kurzweil, Forbes Magazine

 

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