Return to course: Reignite 101
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Reignite 101
Introduction to AI
Separating Fact from Fiction
AI's Current Capabilities vs. Future Promises
Real-World AI Applications You Use Daily
Understanding AI Limitations and Boundaries
QUIZ: Introduction to AI
How AI Reads Information
Grasp how AI processes different types of data
Token-Based Processing: Breaking Down Text
Multi-Modal Understanding: Text, Images, and Audio
The Future of Information Processing
QUIZ: How AI Reads Information
Understanding LLMs
Demystifying how AI Language Systems Work
Training Process: How AI Learns from Data
Pattern Recognition and Prediction Methods
Different LLM Types and Their Strengths
QUIZ: Understanding LLMs
Practical AI
How to use AI today
What can AI do?
Choosing the Right AI Tool for Your Task
Setting Up Your AI Workspace
Measuring AI Output Quality and Effectiveness
QUIZ: Practical AI
Prompting Basics
Definition: Instructions you give to AI
How it works: Input → Processing → Output
Why prompting is different from searching
The foundation of all AI interactions
QUIZ: Prompting Basics
QUIZ: Introduction to AI
Which historical technology comparison best describes today's AI hype cycle?
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The introduction of fax machines in the 1980s
Personal computers eliminating paperwork by 1990 and the internet creating "paperless offices" by 2000
The adoption of mobile phones in the 1990s
The rise of cable television in the 1970s
According to the lesson, what does AI fundamentally do today?
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Think and reason like humans
Create original ideas and innovations
Pattern recognition and statistical prediction
Understand context and emotions
Today's AI's current text processing capabilities are most comparable to which business role?
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A senior executive making strategic decisions
A junior associate handling routine tasks
A department manager overseeing operations
A board member providing governance
Which of these limitations best describes AI's creativity?
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It cannot process large amounts of data
It works too slowly for business applications
It doesn't create; it recombines existing patterns in novel ways
It cannot understand written instructions
Which of the following best describes how Gmail's Smart Compose functions?
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Understanding your personal writing style and emotions
Learning from billions of emails to predict what you're likely to say next
Analyzing your calendar and contacts to suggest responses
Using templates created by professional writers
Which comparision best describes the current-state of AI-powered navigation systems:
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A taxi driver with perfect knowledge of every road condition
A travel agent booking the best routes
A traffic controller managing city flow
A map publisher creating accurate directions
Which of these best describes the "confidence without competence" problem?
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AI systems work slowly but accurately
AI systems are most confident when they're most wrong
AI systems always ask for clarification when uncertain
AI systems only work with perfect data
Which of these best describes the "black box problem"?
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AI systems being too expensive for small businesses
AI systems working only in dark environments
AI systems producing results without explaining their reasoning
AI systems requiring specialized hardware
When describing AI, it's like a Master Chief who has:
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Cooked every dish in the world but never tasted anything
Tasted every dish in the world but has never actually cooked
Managed every restaurant but never served customers
Written every cookbook but never planned a menu
Based on the past lesson, what approach should seasoned leaders take toward AI adoption?
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Implement AI systems as quickly as possible to gain competitive advantage
Wait until AI technology is completely mature before adopting
Treat AI as a powerful tool with specific capabilities and clear boundaries
Replace all human decision-making with AI systems