https://www.promptingguide.ai/_next/static/chunks/pages/introduction/basics.kr-d887ffca92d8a632.js

1(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[66145],{75039:function(e,n,a){(window.__NEXT_P=window.__NEXT_P||[]).push(["/introduction/basics.kr",function(){return a(87968)}])},87968:function(e,n,a){"use strict";a.r(n),a.d(n,{__toc:function(){return s}});var t=a(52676),i=a(45118),o=a(23742),l=a(40241);a(21729),a(29814);var r=a(41619);let s=[{depth:2,value:"기초 프롬프트",id:"기초-프롬프트"},{depth:2,value:"프롬프트 형식",id:"프롬프트-형식"}];function _createMdxContent(e){let n=Object.assign({h1:"h1",h2:"h2",p:"p",em:"em",pre:"pre",code:"code",span:"span",strong:"strong"},(0,r.a)(),e.components);return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(n.h1,{children:"프롬프트의 기초"}),"\n",(0,t.jsx)(n.h2,{id:"기초-프롬프트",children:"기초 프롬프트"}),"\n",(0,t.jsxs)(n.p,{children:["간단한 프롬프트만으로도 많은 일들을 할 수 있지만, 제공하는 정보의 양과 퀄리티에 따라 ê·¸ 결과는 천차만별입니다. 모델에게 전달하는 프롬프트는 ",(0,t.jsx)(n.em,{children:"지시"}),"나 ",(0,t.jsx)(n.em,{children:"질문"}),"ê³¼ 같은 정보와 ",(0,t.jsx)(n.em,{children:"맥락"}),", ",(0,t.jsx)(n.em,{children:"입력"})," 또는 ",(0,t.jsx)(n.em,{children:"예시"}),"와 같은 다른 세부 사항을 포함할 수 있습니다. 이러한 구성 요소를 사용하여 모델에게 더욱 적절하게 지시하고 더 나은 결과를 얻을 수 있습니다."]}),"\n",(0,t.jsx)(n.p,{children:"먼저 간단한 프롬프트의 기본 예시를 살펴보겠습니다:"}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.em,{children:"Prompt:"})}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsx)(n.code,{"data-language":"text","data-theme":"default",children:(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"하늘은"})})})}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.em,{children:"Output:"})}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsxs)(n.code,{"data-language":"text","data-theme":"default",children:[(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"푸른색입니다."})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"}})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"하늘은 맑은 날에는 푸른색입니다. 흐린 날엔 하늘은 회색 혹은 하얀색을 띨 수 있습니다."})})]})}),"\n",(0,t.jsxs)(n.p,{children:["보시다시피, 언어 모델은 주어진 ",(0,t.jsx)(n.code,{children:'"하늘은"'}),"이라는 짧은 문장의 맥락을 파악하고 글을 이어 나갑니다.\n이 결과물은 예상하지 못했거나 우리가 달성하려던 작업과는 동떨어져있을 수도 있습니다."]}),"\n",(0,t.jsx)(n.p,{children:"위의 간단한 예시로부터, 우리는 모델에게 더 자세한 문맥과 구체적으로 원하는 것에 대한 지시를 내리는 일의 중요성을 알 수 있습니다."}),"\n",(0,t.jsx)(n.p,{children:"한 발짝 더 나아가 보겠습니다:"}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.em,{children:"Prompt:"})}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsxs)(n.code,{"data-language":"text","data-theme":"default",children:[(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"문장을 완성해 줘:"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"}})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"하늘은"})})]})}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.em,{children:"Output:"})}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsx)(n.code,{"data-language":"text","data-theme":"default",children:(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"오늘 매우 아름답습니다."})})})}),"\n",(0,t.jsxs)(n.p,{children:['훨씬 괜찮아 보이나요? 우리가 문장을 완성하라ê

1³  지시한 대로 모델은 정확히 수행("문장 완성")해서 답변을 출력했습니다. 모델에게 작업을 수행하도록 지시하기 위해 최적의 프롬프트를 설계하는 이러한 접근 방식을 ',(0,t.jsx)(n.strong,{children:"프롬프트 엔지니어링"}),"이라고 합니다."]}),"\n",(0,t.jsx)(n.p,{children:"위의 예시를 통해 LLM(대규모언어모델)이 할 수 있는 것을 간단히 살펴보았습니다. 오늘날의 LLM은 텍스트 요약부터 수학적 추론, 코드 생성까지 모든 종류의 고급 작업을 수행할 수 있습니다."}),"\n",(0,t.jsx)(n.h2,{id:"프롬프트-형식",children:"프롬프트 형식"}),"\n",(0,t.jsx)(n.p,{children:"위에서 간단한 프롬프트를 입력해 보았습니다. 일반적인 프롬프트는 다음과 같은 형식을 따릅니다:"}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsx)(n.code,{"data-language":"text","data-theme":"default",children:(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"<질문>?"})})})}),"\n",(0,t.jsx)(n.p,{children:"혹은"}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsx)(n.code,{"data-language":"text","data-theme":"default",children:(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"<지시>"})})})}),"\n",(0,t.jsx)(n.p,{children:"질의응답(QA) 형식으로도 작성이 가능하며, 다음과 같이 많은 QA 데이터 세트에서 표준 형식으로 사용합니다:"}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsxs)(n.code,{"data-language":"text","data-theme":"default",children:[(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"Q: <질문>?"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"A:"})})]})}),"\n",(0,t.jsx)(n.p,{children:"위와 같이 프롬프트를 수행하는 방식을, *제로샷 프롬프팅(zero-shot prompting)*이라고도 합니다. 즉, 어떤 예시나 설명 없이 직접 모델에 응답을 요구하고 있습니다. 몇몇 대규모언어모델에는 제로샷 프롬프팅을 실행할 수 있는 기능이 있지만 해당 작업의 복잡성과 모델이 가진 지식에 따라 다른 결과를 만들어 냅니다."}),"\n",(0,t.jsx)(n.p,{children:"위의 표준 형식을 고려할 때, 인기 있고 효과적인 프롬프팅 기술 중 하나는 모범 예시(예: 시연)를 제공하는 *퓨샷 프롬프팅(few-shot prompting)*입니다. 퓨샷 프롬프팅은 다음과 같은 형식을 가집니다:"}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsxs)(n.code,{"data-language":"text","data-theme":"default",children:[(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"<질문>?"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"<답변>"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"}})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"<질문>?"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"<답변>"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"}})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"<질문>?"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"<답변>"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"}})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"<질문>?"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"}})})]})}),"\n",(0,t.jsx)(n.p,{children:"QA 형식을 따른다면 아래처럼 지시할 수 있습니다:"}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsxs)(n.code,{"data-language":"text","data-theme":"default",children:[(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"Q: <질문>?"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"A: <답변>"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"}})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"Q: <질문>?"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"A: <답변>"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"}})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"Q: <질문>?"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"A: <답변>"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"}})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"Q: <질문>?"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"A:"})})]})}),"\n",(0,t.jsx)(n.p,{children:"언제나 QA 형식을 따라야 하는 것은 아닙니다. 주어진 태스크에 따른 적절한 프롬프트 형식을 사용해 보세요. 예를 들어, 간단한 ë

1¶„류를 통해 아래와 같이 모범 예시를 제공할 수 있습니다:"}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.em,{children:"Prompt:"})}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsxs)(n.code,{"data-language":"text","data-theme":"default",children:[(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"멋지다! // 긍정"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"나빠! // 부정"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"ê·¸ 영화는 굉장했어! // 긍정"})}),"\n",(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"이 얼마나 끔찍한 공연인가! //"})})]})}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.em,{children:"Output:"})}),"\n",(0,t.jsx)(n.pre,{"data-language":"text","data-theme":"default",children:(0,t.jsx)(n.code,{"data-language":"text","data-theme":"default",children:(0,t.jsx)(n.span,{className:"line",children:(0,t.jsx)(n.span,{style:{color:"var(--shiki-color-text)"},children:"부정"})})})}),"\n",(0,t.jsx)(n.p,{children:"언어 모델의 학습을 위해 몇 번의 모범 예시를 제공해주면, 퓨샷 프롬프팅은 문맥에 맞는 학습을 할 수 있습니다."})]})}let d={MDXContent:function(){let e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},{wrapper:n}=Object.assign({},(0,r.a)(),e.components);return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(_createMdxContent,{...e})}):_createMdxContent(e)},pageOpts:{filePath:"pages/introduction/basics.kr.mdx",route:"/introduction/basics",timestamp:1766942504e3,pageMap:[{kind:"Meta",locale:"kr",data:{index:"Prompt Engineering",introduction:"Introduction",techniques:"Techniques",applications:"Applications",prompts:"Prompt Hub",models:"Models",risks:"Risks & Misuses",research:"LLM Research Findings",papers:"Papers",tools:"Tools",notebooks:"Notebooks",datasets:"Datasets",readings:"Additional Readings",about:{title:"About",type:"page"},course:"Course",services:"Services"}},{kind:"MdxPage",name:"about",route:"/about",locale:"kr"},{kind:"Folder",name:"agents",route:"/agents",children:[{kind:"Meta",locale:"en",data:{introduction:"Introduction to Agents",components:"Agent Components","ai-workflows-vs-ai-agents":"AI Workflows vs AI Agents","context-engineering":"Context Engineering for AI Agents","context-engineering-deep-dive":"Context Engineering Deep Dive","function-calling":"Function Calling","deep-agents":"Deep Agents"}},{kind:"MdxPage",name:"ai-workflows-vs-ai-agents",route:"/agents/ai-workflows-vs-ai-agents",locale:"en"},{kind:"MdxPage",name:"components",route:"/agents/components",locale:"en"},{kind:"MdxPage",name:"context-engineering-deep-dive",route:"/agents/context-engineering-deep-dive",locale:"en"},{kind:"MdxPage",name:"context-engineering",route:"/agents/context-engineering",locale:"en"},{kind:"MdxPage",name:"deep-agents",route:"/agents/deep-agents",locale:"en"},{kind:"MdxPage",name:"function-calling",route:"/agents/function-calling",locale:"en"},{kind:"MdxPage",name:"introduction",route:"/agents/introduction",locale:"en"}]},{kind:"Folder",name:"applications",route:"/applications",children:[{kind:"Meta",locale:"kr",data:{generating:"데이터 생성",coding:"코드 생성",workplace_casestudy:"학위가 필요한 직업을 분류한 사례 연구",pf:"프롬프트 함수",function_calling:"Function Calling"}},{kind:"MdxPage",name:"coding",route:"/applications/coding",locale:"kr"},{kind:"MdxPage",name:"function_calling",route:"/applications/function_calling",locale:"kr"},{kind:"MdxPage",name:"generating",route:"/applications/generating",locale:"kr"},{kind:"MdxPage",name:"pf",route:"/applications/pf",locale:"kr"},{kind:"MdxPage",name:"workplace_casestudy",route:"/applications/workplace_casestudy",locale:"kr"},{kind:"MdxPage",name:"context-caching",route:"/applications/context-caching",locale:"en"},{kind:"MdxPage",name:"finetuning-gpt4o",route:"/applications/finetuning-gpt4o",locale:"en"},{kind:"MdxPage",name:"generating_textbooks",route:"/applications/generating_textbooks",locale:"en"},{kind:"MdxPage",name:"synthetic_rag",route:"/applications/synthetic_rag",locale:"en"}]},{kind:"MdxPage",name:"applications",route:"/applications",locale:"kr"},{kind:"MdxPage",name:"course",route:"/course",locale:"kr"},{kind:"MdxPage",name:"datasets",route:"/datasets",locale:"kr"},{kind:"Folder",name:"guides",route:"/guides",children:[{kind:"MdxPage",name:"4o-image-generation",route:"/guides/4o-image-generation",locale:"en"},{kind:"Meta",locale:"en",data:{"optimizing-prompts":"Optimizing Prompts","deep-research":"OpenAI Deep Research","reasoning-llms":"Reasoning LLMs","4o-image-generation":"4o Image Generation","context-engineering-guide":"Context Engineering Guide"}},{kind:"MdxPage",name:"context-engineering-guide",route:"/guides/context-engineering-guide",locale:"en"},{kind:"MdxPage",name:"deep-research",route:"/guides/deep-research",locale:"en"},{kind:"MdxPage",name:"optimizing-prompts",route:"/guides/optimizing-prompts",locale:"en"},{kind:"MdxPage",name:"reasoning-llms",route:"/guides/reasoning-llms",locale:"en"}]},{kind:"MdxPage",name:"index",route:"/",locale:"kr"},{kind:"Folder",name:"introduction",route:"/introduction",children:[{kind:"Meta",locale:"kr",data:{settings:"LLM 설정",basics:"프롬프트의 기초",elements:"프롬프트의 구성 요소",tips:"프롬프트 설계에 관한 일반적인 팁",examples:"프롬프트 예시"}},{kind:"MdxPage",name:"basics",route:"/introduction/basics",locale:"kr"},{kind:"MdxPage",name:"elements",route:"/introduction/elements",locale:"kr"},{kind:"MdxPage",name:"examples",route:"/introduction/examples",locale:"kr"},{kind:"MdxPage",name:"settings",route:"/introduction/settings",locale:"kr"},{kind:"MdxPage",name:"tips",route:"/introduction/tips",locale:"kr"}]},{kind:"MdxPage",name:"introduction",route:"/introduction",locale:"kr"},{kind:"Folder",name:"models",route:"/models",children:[{kind:"Meta",locale:"kr",data:{flan:"Flan",chatgpt:"ChatGPT",llama:"LLaMA","gpt-4":"GPT-4","mistral-7b":"Mistral 7B",gemini:"Gemini","gemini-advanced":"Gemini Advanced","gemini-pro":"Gemini 1.5 Pro","phi-2":"Phi-2",mixtral:"Mixtral","code-llama":"Code Llama",olmo:"OLMo",sora:"Sora",collection:"Model Collection"}},{kind:"MdxPage",name:"chatgpt",route:"/models/chatgpt",locale:"kr"},{kind:"MdxPage",name:"code-llama",route:"/models/code-llama",locale:"kr"},{kind:"MdxPage",name:"collection",route:"/models/collection",locale:"kr"},{kind:"MdxPage",name:"flan",route:"/models/flan",locale:"kr"},{kind:"MdxPage",name:"gemini-advanced",route:"/models/gemini-advanced",locale:"kr"},{kind:"MdxPage",name:"gemini-pro",route:"/models/gemini-pro",locale:"kr"},{kind:"MdxPage",name:"gemini",route:"/models/gemini",locale:"kr"},{kind:"MdxPage",name:"gpt-4",route:"/models/gpt-4",locale:"kr"},{kind:"MdxPage",name:"llama",route:"/models/llama",locale:"kr"},{kind:"MdxPage",name:"mistral-7b",route:"/models/mistral-7b",locale:"kr"},{kind:"MdxPage",name:"mixtral",route:"/models/mixtral",locale:"kr"},{kind:"MdxPage",name:"olmo",route:"/models/olmo",locale:"kr"},{kind:"MdxPage",name:"phi-2",route:"/models/phi-2",locale:"kr"},{kind:"MdxPage",name:"sora",route:"/models/sora",locale:"kr"},{kind:"MdxPage",name:"claude-3",route:"/models/claude-3",locale:"en"},{kind:"MdxPage",name:"gemma",route:"/models/gemma",locale:"en"},{kind:"MdxPage",name:"grok-1",route:"/models/grok-1",locale:"en"},{kind:"MdxPage",name:"kimi-k2.5",route:"/models/kimi-k2.5",locale:"en"},{kind:"MdxPage",name:"llama-3",route:"/models/llama-3",locale:"en"},{kind:"MdxPage",name:"mistral-large",route:"/models/mistral-large",locale:"en"},{kind:"MdxPage",name:"mixtral-8x22b",route:"/models/mixtral-8x22b",locale:"en"}]},{kind:"MdxPage",name:"models",route:"/models",locale:"kr"},{kind:"MdxPage",name:"notebooks",route:"/notebooks",locale:"kr"},{kind:"MdxPage",name:"papers",route:"/papers",locale:"kr"},{kind:"Folder",name:"prompts",route:"/prompts",children:[{kind:"Meta",locale:"kr",data:{classification:"Classification",coding:"Coding",creativity:"Creativity",evaluation:"Evaluation","information-extraction":"Information Extraction","image-generation":"Image Generation",mathematics:"Mathematics","question-answering":"Question Answering",reasoning:"Reasoning","text-summarization":"Text Summarization",truthfulness:"Truthfulness","adversarial-prompting":"Adversarial Prompting"}},{kind:"Folder",name:"adversarial-prompting",route:"/prompts/adversarial-prompting",children:[{kind:"Meta",locale:"en",data:{"prompt-injection":"Prompt Injection","prompt-leaking":"Prompt Leaking","jailbreaking-llms":"Jailbreaking"}},{kind:"MdxPage",name:"jailbreaking-llms",route:"/prompts/adversarial-prompting/jailbreaking-llms",locale:"en"},{kind:"MdxPage",name:"prompt-injection",route:"/prompts/adversarial-prompting/prompt-injection",locale:"en"},{kind:"MdxPage",name:"prompt-leaking",route:"/prompts/adversarial-prompting/prompt-leaking",locale:"en"}]},{kind:"Folder",name:"classification",route:"/prompts/classification",children:[{kind:"Meta",locale:"en",data:{sentiment:"Sentiment Classification","sentiment-fewsh

1ot":"Few-Shot Sentiment Classification"}},{kind:"MdxPage",name:"sentiment-fewshot",route:"/prompts/classification/sentiment-fewshot",locale:"en"},{kind:"MdxPage",name:"sentiment",route:"/prompts/classification/sentiment",locale:"en"}]},{kind:"Folder",name:"coding",route:"/prompts/coding",children:[{kind:"Meta",locale:"en",data:{"code-snippet":"Generate Code Snippet","mysql-query":"Generate MySQL Query",tikz:"Draw TiKZ Diagram"}},{kind:"MdxPage",name:"code-snippet",route:"/prompts/coding/code-snippet",locale:"en"},{kind:"MdxPage",name:"mysql-query",route:"/prompts/coding/mysql-query",locale:"en"},{kind:"MdxPage",name:"tikz",route:"/prompts/coding/tikz",locale:"en"}]},{kind:"Folder",name:"creativity",route:"/prompts/creativity",children:[{kind:"Meta",locale:"en",data:{rhymes:"Rhymes","infinite-primes":"Infinite Primes",interdisciplinary:"Interdisciplinary","new-words":"Inventing New Words"}},{kind:"MdxPage",name:"infinite-primes",route:"/prompts/creativity/infinite-primes",locale:"en"},{kind:"MdxPage",name:"interdisciplinary",route:"/prompts/creativity/interdisciplinary",locale:"en"},{kind:"MdxPage",name:"new-words",route:"/prompts/creativity/new-words",locale:"en"},{kind:"MdxPage",name:"rhymes",route:"/prompts/creativity/rhymes",locale:"en"}]},{kind:"Folder",name:"evaluation",route:"/prompts/evaluation",children:[{kind:"Meta",locale:"en",data:{"plato-dialogue":"Evaluate Plato's Dialogue"}},{kind:"MdxPage",name:"plato-dialogue",route:"/prompts/evaluation/plato-dialogue",locale:"en"}]},{kind:"Folder",name:"image-generation",route:"/prompts/image-generation",children:[{kind:"Meta",locale:"en",data:{"alphabet-person":"Draw a Person Using Alphabet"}},{kind:"MdxPage",name:"alphabet-person",route:"/prompts/image-generation/alphabet-person",locale:"en"}]},{kind:"Folder",name:"information-extraction",route:"/prompts/information-extraction",children:[{kind:"Meta",locale:"en",data:{"extract-models":"Extract Model Names"}},{kind:"MdxPage",name:"extract-models",route:"/prompts/information-extraction/extract-models",locale:"en"}]},{kind:"Folder",name:"mathematics",route:"/prompts/mathematics",children:[{kind:"Meta",locale:"en",data:{"composite-functions":"Evaluating Composite Functions","odd-numbers":"Adding Odd Numbers"}},{kind:"MdxPage",name:"composite-functions",route:"/prompts/mathematics/composite-functions",locale:"en"},{kind:"MdxPage",name:"odd-numbers",route:"/prompts/mathematics/odd-numbers",locale:"en"}]},{kind:"Folder",name:"question-answering",route:"/prompts/question-answering",children:[{kind:"Meta",locale:"en",data:{"closed-domain":"Closed Domain Question Answering","open-domain":"Open Domain Question Answering","science-qa":"Science Question Answering"}},{kind:"MdxPage",name:"closed-domain",route:"/prompts/question-answering/closed-domain",locale:"en"},{kind:"MdxPage",name:"open-domain",route:"/prompts/question-answering/open-domain",locale:"en"},{kind:"MdxPage",name:"science-qa",route:"/prompts/question-answering/science-qa",locale:"en"}]},{kind:"Folder",name:"reasoning",route:"/prompts/reasoning",children:[{kind:"Meta",locale:"en",data:{"indirect-reasoning":"Indirect Reasoning","physical-reasoning":"Physical Reasoning"}},{kind:"MdxPage",name:"indirect-reasoning",route:"/prompts/reasoning/indirect-reasoning",locale:"en"},{kind:"MdxPage",name:"physical-reasoning",route:"/prompts/reasoning/physical-reasoning",locale:"en"}]},{kind:"Folder",name:"text-summarization",route:"/prompts/text-summarization",children:[{kind:"Meta",locale:"en",data:{"explain-concept":"Explain A Concept"}},{kind:"MdxPage",name:"explain-concept",route:"/prompts/text-summarization/explain-concept",locale:"en"}]},{kind:"Folder",name:"truthfulness",route:"/prompts/truthfulness",children:[{kind:"Meta",locale:"en",data:{"identify-hallucination":"Hallucination Identification"}},{kind:"MdxPage",name:"identify-hallucination",route:"/prompts/truthfulness/identify-hallucination",locale:"en"}]},{kind:"MdxPage",name:"adversarial-prompting",route:"/prompts/adversarial-prompting",locale:"en"},{kind:"MdxPage",name:"classification",route:"/prompts/classification",locale:"en"},{kind:"MdxPage",name:"coding",route:"/prompts/coding",locale:"en"},{kind:"MdxPage",name:"creativity",route:"/prompts/creativity",locale:"en"},{kind:"MdxPage",name:"evaluation",route:"/prompts/evaluation",locale:"en"},{kind:"MdxPage",name:"image-generation",route:"/prompts/image-generation",locale:"en"},{kind:"MdxPage",name:"information-extraction",route:"/prompts/information-extraction",locale:"en"},{kind:"MdxPage",name:"mathematics",route:"/prompts/mathematics",locale:"en"},{kind:"MdxPage",name:"question-answering",route:"/prompts/question-answering",locale:"en"},{kind:"MdxPage",name:"reasoning",route:"/prompts/reasoning",locale:"en"},{kind:"MdxPage",name:"text-summarization",route:"/prompts/text-summarization",locale:"en"},{kind:"MdxPage",name:"truthfulness",route:"/prompts/truthfulness",locale:"en"}]},{kind:"MdxPage",name:"prompts",route:"/prompts",locale:"kr"},{kind:"MdxPage",name:"readings",route:"/readings",locale:"kr"},{kind:"Folder",name:"research",route:"/research",children:[{kind:"Meta",locale:"kr",data:{"llm-agents":"LLM Agents",rag:"RAG for LLMs","trustworthiness-in-llms":"Trustworthiness in LLMs"}},{kind:"MdxPage",name:"llm-agents",route:"/research/llm-agents",locale:"kr"},{kind:"MdxPage",name:"rag",route:"/research/rag",locale:"kr"},{kind:"MdxPage",name:"trustworthiness-in-llms",route:"/research/trustworthiness-in-llms",locale:"kr"},{kind:"MdxPage",name:"groq",route:"/research/groq",locale:"en"},{kind:"MdxPage",name:"guided-cot",route:"/research/guided-cot",locale:"en"},{kind:"MdxPage",name:"infini-attention",route:"/research/infini-attention",locale:"en"},{kind:"MdxPage",name:"llm-reasoning",route:"/research/llm-reasoning",locale:"en"},{kind:"MdxPage",name:"llm-recall",route:"/research/llm-recall",locale:"en"},{kind:"MdxPage",name:"llm-tokenization",route:"/research/llm-tokenization",locale:"en"},{kind:"MdxPage",name:"rag-faithfulness",route:"/research/rag-faithfulness",locale:"en"},{kind:"MdxPage",name:"rag_hallucinations",route:"/research/rag_hallucinations",locale:"en"},{kind:"MdxPage",name:"synthetic_data",route:"/research/synthetic_data",locale:"en"},{kind:"MdxPage",name:"thoughtsculpt",route:"/research/thoughtsculpt",locale:"en"}]},{kind:"MdxPage",name:"research",route:"/research",locale:"kr"},{kind:"Folder",name:"risks",route:"/risks",children:[{kind:"Meta",locale:"kr",data:{adversarial:"적대적 프롬프팅",factuality:"사실성",biases:"편향"}},{kind:"MdxPage",name:"adversarial",route:"/risks/adversarial",locale:"kr"},{kind:"MdxPage",name:"biases",route:"/risks/biases",locale:"kr"},{kind:"MdxPage",name:"factuality",route:"/risks/factuality",locale:"kr"}]},{kind:"MdxPage",name:"risks",route:"/risks",locale:"kr"},{kind:"MdxPage",name:"services",route:"/services",locale:"kr"},{kind:"Folder",name:"techniques",route:"/techniques",children:[{kind:"Meta",locale:"kr",data:{zeroshot:"Zero-shot Prompting",fewshot:"Few-shot Prompting",cot:"Chain-of-Thought Prompting",consistency:"Self-Consistency",knowledge:"Generate Knowledge Prompting",prompt_chaining:"Prompt Chaining",tot:"Tree of Thoughts",rag:"Retrieval Augmented Generation",art:"Automatic Reasoning and Tool-use",ape:"Automatic Prompt Engineer",activeprompt:"Active-Prompt",dsp:"Directional Stimulus Prompting",pal:"Program-Aided Language Models",react:"ReAct",reflexion:"Reflexion",multimodalcot:"Multimodal CoT",graph:"Graph Prompting"}},{kind:"MdxPage",name:"activeprompt",route:"/techniques/activeprompt",locale:"kr"},{kind:"MdxPage",name:"ape",route:"/techniques/ape",locale:"kr"},{kind:"MdxPage",name:"art",route:"/techniques/art",locale:"kr"},{kind:"MdxPage",name:"consistency",route:"/techniques/consistency",locale:"kr"},{kind:"MdxPage",name:"cot",route:"/techniques/cot",locale:"kr"},{kind:"MdxPage",name:"dsp",route:"/techniques/dsp",locale:"kr"},{kind:"MdxPage",name:"fewshot",route:"/techniques/fewshot",locale:"kr"},{kind:"MdxPage",name:"graph",route:"/techniques/graph",locale:"kr"},{kind:"MdxPage",name:"knowledge",route:"/techniques/knowledge",locale:"kr"},{kind:"MdxPage",name:"multimodalcot",route:"/techniques/multimodalcot",locale:"kr"},{kind:"MdxPage",name:"pal",route:"/techniques/pal",locale:"kr"},{kind:"MdxPage",name:"prompt_chaining",route:"/techniques/prompt_chaining",locale:"kr"},{kind:"MdxPage",name:"rag",route:"/techniques/rag",locale:"kr"},{kind:"MdxPage",name:"react",route:"/techniques/react",locale:"kr"},{kind:"MdxPage",name:"reflexion",route:"/techniques/reflexion",locale:"kr"},{kind:"MdxPage",name:"tot",route:"/techniques/tot",locale:"kr"},{kind:"MdxPage",name:"zeroshot",route:"/techniques/zeroshot",locale:"kr"},{kind:"MdxPage",name:"meta-prompting",route:"/techniques/meta-prompting",locale:"en"}]},{kind:"MdxPage",name:"techniques",route:"/techniques",locale:"kr"},{kind:"MdxPage",name:"tools",route:"/tools",locale:"kr"},{kind:"MdxPage",name:"agents",route:"/agents",locale:"en"},{kind:"MdxPage",name:"courses",route:"/courses",locale:"en"}],flexsearch:{codeblocks:!0},title:"프롬프트의 기초",headings:s},pageNextRoute:"/introduction/basics.kr",nextraLayout:o.ZP,themeConfig:l.Z};n.default=(0,i.j)(d)}},function(e){e.O(0,[57914,26494,49774,92888,40179],function(){return e(e.s=75039)}),_N_E=e.O()}]);