에이전트가 학습되면 대화형 에이전트(Dialogflow CX)는 학습 데이터를 사용하여 에이전트 전용 머신러닝 모델을 빌드합니다.
에이전트의 흐름마다 자체 모델이 있습니다.
이 학습 데이터는 주로 인텐트, 인텐트 학습 문구, 흐름에서 참조되는 항목으로 구성되며 이는 머신러닝 데이터 라벨로 효과적으로 사용됩니다.
그러나 에이전트 모델은 매개변수 프롬프트 응답, 상태 핸들러, 에이전트 설정, 에이전트와 관련된 기타 여러 데이터를 사용하여 빌드됩니다.
에이전트를 변경할 때마다 사용하기 전에 에이전트가 학습되었는지 확인해야 합니다.
에이전트 설정에 따라 학습이 자동으로 또는 수동으로 이루어질 수 있습니다.
[[["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: 2025-01-31(UTC)"],[[["\u003cp\u003eDialogflow CX trains machine learning models for each agent flow using intents, training phrases, and entities, among other data.\u003c/p\u003e\n"],["\u003cp\u003eIt's crucial to train the agent after making any changes to ensure it functions properly, which can be configured to occur automatically or manually.\u003c/p\u003e\n"],["\u003cp\u003eManual training of a flow can be initiated through the "Train NLU" button in the console's ML settings or via the API's \u003ccode\u003etrain\u003c/code\u003e method for the \u003ccode\u003eFlow\u003c/code\u003e type.\u003c/p\u003e\n"],["\u003cp\u003eNew flow versions are automatically trained upon creation, either through the console's "Create" button in the Version panel or via the API's \u003ccode\u003ecreate\u003c/code\u003e method for the \u003ccode\u003eVersion\u003c/code\u003e type.\u003c/p\u003e\n"]]],[],null,["# Training\n\nWhen your agent is trained,\nConversational Agents (Dialogflow CX) uses your training data to build machine learning models\nspecifically for your agent.\nEach flow of your agent has its own model.\nThis training data primarily consists of intents, intent training phrases,\nand entities referenced in a flow;\nwhich are effectively used as machine learning data labels.\nHowever, agent models are built using\nparameter prompt responses, state handlers,\nagent settings, and many other pieces of data associated with your agent.\n\nWhenever you change your agent,\nyou should ensure that the agent is trained before attempting to use it.\nDepending on your agent settings,\ntraining may occur automatically or manually.\n\nWhen training is initiated by the console, the\n[task indicator](/dialogflow/cx/docs/concept/console#task)\nprovides status for the tasks.\n\nDraft flow automatic training\n-----------------------------\n\n[ML settings](/dialogflow/cx/docs/concept/agent-settings#settings-ml)\nlets you select either a **Standard NLU** or **Advanced NLU** NLU type.\nA setting to enable or disable automatic training is available.\n\nIf you have disabled automatic training,\nyou must execute [manual training](#draft-manual)\nafter you have completed updates.\n\nDraft flow manual training\n--------------------------\n\nTo manually train a flow from the console,\nclick the **Train NLU** button in the\n[ML settings](/dialogflow/cx/docs/concept/agent-settings#settings-ml).\n\nTo manually train a flow with the API,\ncall the `train` method for the `Flow` type.\n\n\nGo to the Flow API reference \n**Select a protocol and version for the Flow reference:**\n\nClose\n\n\u003cbr /\u003e\n\nFlow version automatic training\n-------------------------------\n\nWhenever a new\n[flow version](/dialogflow/cx/docs/concept/version)\nis created, the new flow version is automatically trained.\n\nTo create a new flow version from the console,\nclick the **Create** button on the\n[Version panel](/dialogflow/cx/docs/concept/version#manage-versions).\n\nTo create a new flow version with the API,\ncall the `create` method for the `Version` type.\n\n\nGo to the Version API reference \n**Select a protocol and version for the Version reference:**\n\nClose\n\n\u003cbr /\u003e"]]
