Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Fitur Ringkasan Agent Assist memungkinkan Anda memberikan
ringkasan percakapan kepada agen setelah setiap percakapan selesai.
Ringkasan ini membantu agen membuat catatan percakapan dan memahami histori komunikasi pengguna akhir. Misalnya, output ringkasan tentang percakapan mungkin terlihat seperti berikut:
Tutorial ini memandu Anda melatih dan men-deploy model Ringkasan menggunakan konsol Agent Assist. Anda dapat menggunakannya untuk melatih model dan menguji performanya, tetapi perlu diketahui bahwa semua operasi runtime harus dilakukan dengan memanggil API secara langsung. Lihat
Panduan cara kerja perangkuman Agent Assist untuk mengetahui petunjuknya.
Jika Anda menggunakan data Anda sendiri, pastikan Anda telah
memformatnya dengan benar
dan menguploadnya ke bucket Cloud Storage. Anda juga memiliki opsi untuk melatih model menggunakan data chat demo atau menggunakan model demo terlatih.
Membuat & melatih model baru
Buka konsol Agent Assist.
Pilih kartu Ringkasan di bagian tengah layar, lalu klik
Mulai. Anda memiliki opsi untuk mencoba fitur Ringkasan menggunakan model demo, atau membuat model kustom Anda sendiri menggunakan satu atau beberapa set data.
Jika Anda melatih model kustom menggunakan set data Summarization publik, masukkan gs://summarization_integration_test_data/data/* di kolom URI set data. Jika Anda menggunakan set data sendiri, tutorial ini akan memandu Anda
melalui proses pembuatan set data dari data Anda.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[[["\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)."]]
