[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-19。"],[[["\u003cp\u003eAgent Assist Summarization provides conversation summaries to agents after each conversation, aiding in note-taking and understanding communication history.\u003c/p\u003e\n"],["\u003cp\u003eYou can train and deploy a Summarization model using the Agent Assist console, but runtime operations require direct API calls.\u003c/p\u003e\n"],["\u003cp\u003eTraining a custom model requires properly formatted data uploaded to a Cloud Storage bucket, but demo data or a pre-trained model is also available.\u003c/p\u003e\n"],["\u003cp\u003eThe Summarization feature can be initiated via the Agent Assist console, where you can either try a demo model or create a custom model using datasets.\u003c/p\u003e\n"],["\u003cp\u003eThis is a pre-GA feature, therefore it is available "as is" with limited support as per the "Pre-GA Offerings Terms".\u003c/p\u003e\n"]]],[],null,["# Train a Summarization custom model for chat\n\n| **Preview**\n|\n|\n| This feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n\nThe **Agent Assist Summarization** feature lets you provide\nconversation summaries to your agents after each conversation is completed.\nThe summaries help agents create their conversation notes and understand\nend-user communication history. For example, a summary output about a\nconversation might look similar to the following:\n\nThis tutorial guides you through training and deploying a Summarization model\nusing the Agent Assist console. You can use it to train a model\nand test its performance, but be aware that all runtime operations must be\ncarried out by calling the API directly. See the Agent Assist\n[Summarization how-to guide](/agent-assist/docs/summarization) for instructions.\n\nIf preferred, you can also create and deploy a Summarization model by\n[calling the API directly](/agent-assist/docs/summarization)\n\nBefore you begin\n----------------\n\n1. If you are using your own data, make sure that you have [formatted it correctly](/agent-assist/docs/summarization#summarization_training_data) and uploaded it to a Cloud Storage bucket. You also have the option of training a model using demo chat data or using a pre-trained demo model.\n\nCreate \\& train a new model\n---------------------------\n\nNavigate to the [Agent Assist console](https://agentassist.cloud.google.com).\nSelect the Summarization card in the center of the screen and click\n**Get started**. You have the option of trying out the Summarization feature\nusing a demo model, or creating your own custom model using one or more\ndatasets.\n\nIf you are training a custom model using the public Summarization dataset,\nenter `gs://summarization_integration_test_data/data/*` in the dataset URI\nfield. If you are using your own dataset, the tutorial will walk you through\nthe process of creating a dataset from your data.\n\nWhat's next\n-----------\n\nAfter you have deployed your model, you can then proceed to\n[create a conversation profile](/agent-assist/docs/conversation-profile)."]]
