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The most effective prompt tweaks to reduce hallucinations differ for Perplexity and ChatGPT, but both follow similar foundational principles: referencing credible sources, adding constraints, and using verification steps.
Prompt strategies for Perplexity AI and ChatGPT are tailored to each tool’s strengths—Perplexity excels with research-oriented, concise, and citation-heavy requests, while ChatGPT performs best with creative, conversational, and flexible instructions.
Roles set the model’s mindset and context before it replies.
the task, desired length, and format. You can improve responses by giving the AI a persona or role, specifying constraints, using actionable verbs, and providing examples.
Include a directive: “If anything is unclear, ask for clarification before answering.”
Test varied wordings, add/remove context, and simplify steps until output improves.
To prompt an AI effectively, provide clear, specific instructions and context, define the desired persona and format, and use an iterative approach by refining prompts and providing feedback.
Evaluating prompt quality and output reliability in AI involves structured approaches using qualitative, quantitative, and user-centric metrics.
Be specific, give context, define output format, and state what success looks like.
System = rules, User = request, Assistant = AI reply.
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