Web Search Model Pitfalls to Avoid

A shared folder with AI prompts and code snippets

From workspace: Perplexity

Team: Main

Total snippets: 4

Perplexity

Web Search Model Pitfalls to Avoid

4 snippets

Assuming Search Intent

Don’t assume the model will search for what you intended without specific direction. Be explicit about exactly what information you need. ❌ Avoid: “Tell me about the latest developments.” ✅ Instead: “What are the latest developments in offshore...

Complex Multi-Part Requests

Complex prompts with multiple unrelated questions can confuse the search component. Focus on one topic per query. ❌ Avoid: “Explain quantum computing, and also tell me about regenerative agriculture, and provide stock market predictions.” ✅...

Traditional LLM Techniques

Prompting strategies designed for traditional LLMs often don’t work well with web search models. Adapt your approach accordingly. ❌ Avoid: “Act as an expert chef and give me a recipe for sourdough bread. Start by explaining the history of...

Overly Generic Questions

Generic prompts lead to scattered web search results and unfocused responses. Always narrow your scope. ❌ Avoid: “What’s happening in AI?” ✅ Instead: “What are the three most significant commercial applications of generative AI in healthcare in...

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