信息专业人士的提示工程与提示管理指南.pdf

1、Prompt EngineeringFROM STRATEGY TO SECURITYRafia TapiaSr.Solutions ArchitectAWSAgendaIntroduction to Prompt EngineeringPrompt Types and TechniquesOWASP LLM Security&Prompt ThreatsArchitecting GuardrailsEnterprise Prompt ManagementOptimization and Fine-TuningProduction Best PracticesIntroduction to P

2、rompt EngineeringWhat is Prompt EngineeringThe practice of designing structured inputs that guide LLMstoward accurate,relevant,and safe outputsStructured CommunicationTranslates human intent intoprecise model instructionsIterative RefinementCraft,test,evaluate,andimprove prompts over timeContext Eng

3、ineeringSelecting the right context,examples,and constraintsProduction SkillEssential for building reliableAI-powered applicationsWhy Prompt Engineering Matters?QualitySame model,differentprompt=vastlydifferent outputAccuracyReduces hallucinationsand improves factualreliability$CostFewer tokens andr

4、etries=lowerAPI spendAccessNon-technical teamscan leverage AIwithout codeSecurityPoor prompts riskdata leakage andinjection attacksPrompt engineering is the highest-leverage skill for production AI systemsEnterprise AI StackInfrastructureCompute,storage,networking,GPU clustersLLMFoundation models,fi

5、ne-tuned models,embeddingsPrompt LayerTemplates,chains,guardrails,routingAgentsOrchestration,tool use,memory,planningApplicationsChat,search,code gen,content,analyticsPrompt StructureP R O M P TSystem MessageSets persona,role,and behavioral boundariesUser InstructionsThe actual task or question for

6、the modelExamplesFew-shot demonstrations of desired input/outputOutput FormatJSON,markdown,table structure the responseContextBackground data,documents,or conversation historyParameters (supplied alongside the prompt)temperature top_p max_tokens stop_sequences frequency_penaltyOutputContext WindowMa