Is your GenAI product's quality plummeting in the most critical edge cases?
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π‘ The #1 Reason Your GenAI's Getting Worse (And How to Fix It)
- Lack of evaluation
- Inconsistent outputs due to inadequate testing
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π₯ Adaptive Rubrics: The Game-Changing Metric for GenAI Evaluation
- Break task expectations down into testable criteria
- Generate criteria that fit the actual prompt, not a generic checklist
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The Power of Comparative Evaluation
- Compare candidates across different prompts and models
- Inspect results side-by-side to spot hidden weaknesses
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β Don't Make This Common GenAI Trap: The Edge Case Failures You're Missing
- Avoid blaming vague impressions or intuition for subpar performance
- Focus on objective evaluation instead of subjective debate
Click to learn how to apply Vertex AI Evaluation to your GenAI product and uncover hidden weaknesses!
Originally published at https://medium.com/google-cloud/vertex-ai-evaluation-in-2026-stop-trusting-it-feels-better-386e25c8c361

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