使用大型語言模型 (生成式 AI) 分類文字
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
執行分類工作,為文字指派類別。您可以指定要從哪些類別中選擇,也可以讓模型從自己的類別中選擇。
程式碼範例
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[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[],[],null,["Perform classification tasks that assign a class or category to text. You can specify a list of categories to choose from or let the model choose from its own categories.\n\nCode sample \n\nJava\n\n\nBefore trying this sample, follow the Java setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Java API\nreference documentation](/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.EndpointName.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PredictResponse.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PredictionServiceClient.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PredictionServiceSettings.html;\n import com.google.protobuf.https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.Value.html;\n import com.google.protobuf.util.https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.util.JsonFormat.html;\n import java.io.IOException;\n import java.util.ArrayList;\n import java.util.List;\n\n // Text Classification with a Large Language Model\n public class PredictTextClassificationSample {\n\n public static void main(String[] args) throws IOException {\n // TODO(developer): Replace these variables before running the sample.\n String instance =\n \"{ \\\"content\\\": \\\"What is the topic for a given news headline?\\n\"\n + \"- business\\n\"\n + \"- entertainment\\n\"\n + \"- health\\n\"\n + \"- sports\\n\"\n + \"- technology\\n\"\n + \"\\n\"\n + \"Text: Pixel 7 Pro Expert Hands On Review, the Most Helpful Google Phones.\\n\"\n + \"The answer is: technology\\n\"\n + \"\\n\"\n + \"Text: Quit smoking?\\n\"\n + \"The answer is: health\\n\"\n + \"\\n\"\n + \"Text: Roger Federer reveals why he touched Rafael Nadals hand while they were\"\n + \" crying\\n\"\n + \"The answer is: sports\\n\"\n + \"\\n\"\n + \"Text: Business relief from Arizona minimum-wage hike looking more remote\\n\"\n + \"The answer is: business\\n\"\n + \"\\n\"\n + \"Text: #TomCruise has arrived in Bari, Italy for #MissionImpossible.\\n\"\n + \"The answer is: entertainment\\n\"\n + \"\\n\"\n + \"Text: CNBC Reports Rising Digital Profit as Print Advertising Falls\\n\"\n + \"The answer is:\\\"}\";\n String parameters =\n \"{\\n\"\n + \" \\\"temperature\\\": 0,\\n\"\n + \" \\\"maxDecodeSteps\\\": 5,\\n\"\n + \" \\\"topP\\\": 0,\\n\"\n + \" \\\"topK\\\": 1\\n\"\n + \"}\";\n String project = \"YOUR_PROJECT_ID\";\n String publisher = \"google\";\n String model = \"text-bison@001\";\n\n predictTextClassification(instance, parameters, project, publisher, model);\n }\n\n static void predictTextClassification(\n String instance, String parameters, String project, String publisher, String model)\n throws IOException {\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PredictionServiceSettings.html predictionServiceSettings =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PredictionServiceSettings.html.newBuilder()\n .setEndpoint(\"us-central1-aiplatform.googleapis.com:443\")\n .build();\n\n // Initialize client that will be used to send requests. This client only needs to be created\n // once, and can be reused for multiple requests.\n try (https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PredictionServiceClient.html predictionServiceClient =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PredictionServiceClient.html.create(predictionServiceSettings)) {\n String location = \"us-central1\";\n final https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.EndpointName.html endpointName =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.EndpointName.html.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.EndpointName.html#com_google_cloud_aiplatform_v1_EndpointName_ofProjectLocationPublisherModelName_java_lang_String_java_lang_String_java_lang_String_java_lang_String_(project, location, publisher, model);\n\n https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.Value.html.Builder instanceValue = https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.Value.html.newBuilder();\n https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.util.JsonFormat.html.parser().merge(instance, instanceValue);\n https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.ListValue.html instances = new ArrayList\u003c\u003e();\n instances.add(instanceValue.build());\n\n https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.Value.html.Builder parameterValueBuilder = https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.Value.html.newBuilder();\n https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.util.JsonFormat.html.parser().merge(parameters, parameterValueBuilder);\n https://cloud.google.com/java/docs/reference/protobuf/latest/com.google.protobuf.Value.html parameterValue = parameterValueBuilder.build();\n\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.PredictResponse.html predictResponse =\n predictionServiceClient.predict(endpointName, instances, parameterValue);\n System.out.println(\"Predict Response\");\n }\n }\n }\n\nWhat's next\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=aiplatform)."]]