Prompt Engineering
AvanzadadevelopmentContexto mínimo: 32K
Designs, optimizes, and iterates on prompts for LLM applications. Covers system prompt design, few-shot examples, chain-of-thought reasoning, output formatting, and prompt testing strategies. Helps build reliable AI-powered features.
Casos de uso
- Designing system prompts for AI applications
- Optimizing prompts for accuracy and consistency
- Building few-shot example sets
- Creating evaluation criteria for prompt outputs
- Migrating prompts between different models
Prompt de ejemplo
Help me design a system prompt for the following use case: Application: [describe your AI feature] Target model: [model name] Expected input: [what users will provide] Expected output: [what the AI should produce] Constraints: [format, length, tone, safety requirements] Please provide: 1. System prompt with clear role, context, and instructions 2. 3 few-shot examples (input → expected output) 3. Edge cases to handle explicitly 4. Evaluation criteria for testing prompt quality 5. Suggestions for iteration and improvement
Modelos recomendados
Herramientas compatibles
claude-codecursorgithub-copilotkiroany
Modalidades
Entrada: text
→Salida: text
Skills relacionadas
Autor
OpenModels Community