
Prompts with examples: when few-shot helps and when it only adds noise
Learn when examples genuinely improve a prompt, when they only add unnecessary context, and how to compare zero-shot and few-shot with a representative test set.
Read articleTechniques for creating, structuring, testing, and refining prompts for different AI tasks and models.

Learn when examples genuinely improve a prompt, when they only add unnecessary context, and how to compare zero-shot and few-shot with a representative test set.
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Compare instructions without examples and prompts with demonstrations on the same test cases to measure format, accuracy, and token cost.
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OpenAI, Claude, and Gemini separate high-level instructions from the user's request, but their APIs use different roles, fields, and precedence rules.
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Requesting JSON, enabling an output mode and imposing a schema solve different problems. See when each approach is sufficient and where it is still necessary to validate content.
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A practical guide to deciding between a single call and a staged flow, comparing dependencies, validation, failures, state, latency, cost, and testing.
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