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Aug 14 (edited) • General Discussion 💬
📒 AI Terms Daily Dose: Prompt Engineering
Term: Prompt Engineering
Day: 5
Level: Foundational
Category: Reasoning & Retrieval
🪄 Simple Definition:
Crafting clear instructions and context so an AI gives the result you actually want.
🌟 Expanded Definition:
Prompt engineering is the practice of designing inputs—instructions, role, tone, constraints, examples, and desired format—to reliably steer model behavior. Good prompts reduce ambiguity, improve accuracy, and make outputs more consistent across use cases.
⚡ In Action:
A sales team uses a prompt template that injects CRM fields (industry, pain point, product) to generate personalized outreach emails that match their brand tone and a 120‑word limit.
💡 AIS+ Pro Tip:
Specify the audience, goal, length, tone, and output format (e.g., bullet list or JSON). Pair with retrieval (RAG) to ground answers in your docs, and A/B test prompts to see what actually performs.
🔍To find all posted terms, simply search for the phrase “Daily Dose” in the AIS+ community.
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📒 AI Terms Daily Dose: Prompt Engineering
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