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Update google-prompting-essentials.mdx
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src/content/notes/coursera/google-prompting-essentials.mdx

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@@ -31,3 +31,19 @@ Four Iteration Methods
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Break the Prompt into Shorter Sentences: Instead of a single complex prompt, address each step individually in separate prompts to achieve your desired outcome.
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Tweak Your Phrasing or Switch to an Analogous Task: Rephrase your request or try a similar but different task to trigger new responses from the AI.
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Introduce Constraints: Add limitations to your prompt regarding categories, length, format, or other details to guide the AI toward more precise and inventive results.
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Ethical Risks and AI Limitations
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Generative AI tools can produce outputs with mistakes, biases, stereotypes, and misleading information due to their lack of critical thinking and human awareness.
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A "human-in-the-loop" approach is crucial, requiring users to verify all AI-generated content before use.
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Navigating Common Issues
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Biases and Stereotypes: To avoid these, specify diversity in prompts (e.g., "delicious foods from all over the world") and challenge biased responses by asking the tool to correct them.
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Hallucinations: When AI provides false information, fact-check and cross-reference outputs using search engines or experts. Use clearer and more detailed language in prompts to prevent misunderstandings.
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Inconsistencies and Relevance Issues: Provide references and more context in your prompts to ensure the AI understands your request, especially with idioms or colloquialisms.
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Responsible Prompting and Workplace Considerations
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Before using generative AI for work, consider if it aligns with your goals, company policies, and potential risks to sensitive data.
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Always evaluate AI-generated content, disclose your use of AI, and periodically clear the AI tool's memory to protect privacy, avoid bias, and improve accuracy.

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