Prompt Engineering: Few-Shot Examples That Actually Work
Design high-signal few-shot examples that steer LLM behaviour reliably.
Meta-prompts for crafting better prompts — chain-of-thought techniques, few-shot examples, system prompt design, and LLM output optimization.
20 prompts found
Design high-signal few-shot examples that steer LLM behaviour reliably.
When to use chain-of-thought and when not to.
Guarantee valid JSON outputs with schema, examples, and recovery.
Reusable system prompt template with role, goal, constraints, and format.
Build a small, high-quality eval harness that catches prompt regressions.
Craft effective system prompts that define AI assistant behavior, personality, guardrails, and output formatti...
Transform any task into a chain-of-thought prompt that forces step-by-step reasoning, improving accuracy on co...
Generate optimal few-shot examples that teach an AI model your exact desired output format, tone, and reasonin...
Build a systematic framework to test, evaluate, and compare prompts with scoring rubrics, test cases, and regr...
Design prompts that reliably produce structured output (JSON, XML, YAML) with schema validation and error reco...
Reduce prompt token usage by 30-60% while maintaining output quality — compression techniques, context pruning...
Design multi-turn AI conversation flows for chatbots, wizards, and interactive assistants with state managemen...