few-shot-examples

To reduce AI hallucinations using few-shot examples, structure your prompts with XML tags for examples and define JSON schemas with nullable but required fields for strict output validation.

The best way to format few-shot examples for structured JSON output is to wrap example patterns in XML structures and enforce a JSON schema that includes both stated and calculated fields.

Handle edge cases in AI agent training by designing few-shot examples that include reasoning and confidence fields, empowering the model to route complex scenarios and normalize input formats accurately.

Yes, you can use few-shot prompt patterns for robust classification by providing examples designed with extensibility and schema redundancy to validate outputs and ensure consistent categorization.

AI models fail to normalize input formats without few-shot examples due to ambiguous instructions; providing structured pattern designs guides the model to consistently convert varied inputs into a single format.

Yes, you need a JSON schema for every field when designing few-shot prompts, specifically marking fields as nullable but required, to enforce strict output structure and prevent missing data.