Tests for Finding information
Assess how effectively AI models can search through data and identify relevant information for your needs.
Tests in this category
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Locate information on obscure or niche topic
Test with a very specialized charity focus where training data might be limited. Monitor for confidence hallucination or admission of knowledge gaps.
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Search for best practices
Evaluate how well the model can find and recommend established best practices for charity operations. Should provide actionable, evidence-based recommendations.
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Search for information on rapidly changing topic
Failure test: ask for current information on something that changes frequently (policy, regulations, market rates). Watch for stale or outdated recommendations.
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Search with insufficient context
Failure test: vague search query with limited context. Watch for hallucinated information or overly generic results that aren't actually helpful.
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Identify relevant research and statistics
Test ability to locate and reference current statistics and research relevant to a charity's cause. Watch for accuracy of cited data.
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Locate relevant funding opportunities
Test the model's ability to identify suitable funding sources for a specific charity type and need. Evaluate accuracy and relevance of suggestions.
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