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Starts 6 June 2025 09:11
Ends 6 June 2025
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Reframing GenAI as Not AI - Generative Search, Auto-Complete and Pattern Matching
Uncover the reality behind AI hype: what we call "AI" is actually generative search and pattern matching without true intelligence. Learn why reframing these technologies as IT tools rather than magical solutions leads to better implementation.
Pragmatic AI Labs
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Pragmatic AI Labs
2484 Courses
17 minutes
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Overview
Uncover the reality behind AI hype:
what we call "AI" is actually generative search and pattern matching without true intelligence. Learn why reframing these technologies as IT tools rather than magical solutions leads to better implementation.
Syllabus
- Introduction to Generative AI
- The Reality of AI Capabilities
- Generative Search
- Auto-Complete Technologies
- Pattern Matching
- Reframing AI as IT Tools
- Ethical and Practical Considerations
- Conclusion
Overview of generative AI technologies
Common misconceptions about AI
Importance of accurate terminology and understanding
Differentiating between AI and IT tools
Case studies: Where generative AI is used
Limitations of current AI technologies
Mechanisms of generative search
Applications and examples
Advantages and pitfalls
How auto-complete works
Key algorithms in pattern recognition
Impact on user experience and productivity
Understanding pattern recognition
Techniques and methods
Real-world implementations and challenges
Benefits of reframing AI technologies
Strategic implementation in organizations
Managing expectations and aligning goals
Ethical concerns and responsible use
Data privacy and security issues
Future directions and responsible innovation
Recap of key learnings
Implications for businesses and technology development
Final thoughts on the evolution of generative AI technologies
Subjects
Computer Science
