You've learned a lot about AI. But there's a problem - many people talk about AI using wrong terms or outdated ideas!
Using the right vocabulary helps you sound professional and avoid embarrassing mistakes in business meetings.
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What AI terms have confused you the most?
Here's a big misconception: "AI was just invented recently." Wrong! AI has been developing since the 1950s.
What we're seeing now is the result of 70 years of research finally coming together with enough computing power and data.
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When did you first hear about AI?
Another dangerous myth: "AI thinks and feels like humans do." This leads to major business mistakes!
Current AI doesn't have consciousness or emotions. It's incredibly sophisticated pattern matching - finding and reproducing patterns from massive datasets.
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Have you ever caught yourself saying the AI "wants" or "believes" something?
The accuracy trap: "AI is always right." This misconception can cost businesses dearly!
AI can "hallucinate" - confidently provide false information that sounds plausible. Always verify critical facts, especially for important business decisions.
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What would happen if your company made decisions based on AI hallucinations?
"Bigger AI is always better AI." Not true! Sometimes smaller, specialized models outperform giants.
A focused AI trained on your industry might beat GPT-4 for your specific needs - and cost way less to run!
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When you use AI models do you ever worry about cost?
The privacy pitfall: "My data is safe with any AI tool." Be careful! Free AI tools might use your data for training.
