Jun 8 in Discussion
Prompt Keywords or "Magic Words"?
I wasn't sure if I should have written this tutorial. People may misunderstand. But I've spent over almost $10K a month in API calls in the last 27 months, and I am committed to showing my findings no matter what. One of these are the concept of Prompt Keywords or "magic words". Some are obvious, but some not so much. What are these Prompt Keywords?
💡 Prompt keywords act like "magic words" that guide the language model towards specific paths within its knowledge graph.
⚡️ Prompt keywords are categorized into general/generic and specific types, each serving distinct purposes in improving the model's output quality.
🧬 General keywords provide a broad framework, while specific keywords cater to particular domains or use cases.
🌠 Prompt keywords can highlight paths, skip steps, and provide contextual cues to steer the model towards less obvious but still valid connections.
🧠 Prompt keywords can take various forms, including contextual enhancers, task-specific cues, polarity indicators, disambiguators, and more.
🚀 The structure and length of the prompt can also act like magic words, influencing the model's behavior.
Please review the article and let me know what you think!
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Prompt Keywords or "Magic Words"?
skool.com/generative-minds-prompts-6761
Ideas into Impact: Business, Art, AI Prompts and News Hub
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