Dialogflow 에이전트는 최종 사용자와의 동시 실행 대화를 처리하는 가상 에이전트입니다.
이는 인간 언어의 미묘한 차이를 이해하는 자연어 이해 모듈입니다.
Dialogflow는 대화로 이루어진 최종 사용자의 텍스트 또는 오디오를 앱과 서비스가 이해할 수 있는 구조화된 데이터로 변환합니다.
시스템에 필요한 대화 유형을 처리하도록 Dialogflow 에이전트를 직접 설계하고 빌드할 수 있습니다.
Dialogflow 에이전트는 콜센터 상담원과 유사합니다.
둘 다 예상되는 대화 시나리오를 처리하도록 학습해야 하며, 학습이 지나치게 명시적일 필요는 없습니다.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-09-04(UTC)"],[[["\u003cp\u003eA Dialogflow agent is a virtual agent that manages multiple conversations with end-users and understands the complexities of natural human language.\u003c/p\u003e\n"],["\u003cp\u003eDialogflow agents translate user text or audio into structured data that applications and services can understand.\u003c/p\u003e\n"],["\u003cp\u003eThese agents are trained to handle various conversation scenarios, much like human call center agents, but with the advantage of not needing overly explicit training.\u003c/p\u003e\n"],["\u003cp\u003eDialogflow agents contain settings and data, including language options, intents, entities, knowledge, integrations, and fulfillment to control agent behavior.\u003c/p\u003e\n"]]],[],null,["# Agents\n\nA Dialogflow\n\n*agent*\n\nis a virtual agent that handles concurrent conversations with your end-users.\nIt is a natural language understanding module that understands the nuances of human language.\nDialogflow translates end-user text or audio during a conversation\nto structured data that your apps and services can understand.\nYou design and build a Dialogflow agent to handle the types of conversations required for your system.\n\n\nA Dialogflow agent is similar to a human call center agent.\nYou train them both to handle expected conversation scenarios,\nand your training does not need to be overly explicit.\n\nAgents also serve as a top-level container for settings and data:\n\n- [Agent settings](/dialogflow/docs/agents-settings) for language options, machine learning settings, and other settings that control the behavior of your agent.\n- [Intents](/dialogflow/docs/intents-overview) to categorize end-user intentions for each conversation turn.\n- [Entities](/dialogflow/docs/entities-overview) to identify and extract specific data from end-user expressions.\n- [Knowledge](/dialogflow/docs/knowledge-connectors) to parse documents (for example, FAQs) and find automated responses.\n- [Integrations](/dialogflow/docs/integrations) for applications that run on devices or services that directly handle end-user interactions for you (for example, Google Assistant).\n- [Fulfillment](/dialogflow/docs/fulfillment-overview) to connect your service when using integrations."]]
