Mulai 29 April 2025, model Gemini 1.5 Pro dan Gemini 1.5 Flash tidak tersedia di project yang belum pernah menggunakan model ini, termasuk project baru. Untuk mengetahui detailnya, lihat Versi dan siklus proses model.
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Dokumen ini menjelaskan cara menggunakan pengoptimal perintah Vertex AI untuk
mengoptimalkan performa perintah secara otomatis dengan meningkatkan petunjuk
sistem untuk serangkaian
perintah.
Pengoptimal perintah Vertex AI dapat membantu Anda meningkatkan kualitas perintah dengan cepat dalam skala besar, tanpa menulis ulang petunjuk sistem atau perintah individual secara manual. Hal ini sangat berguna saat Anda ingin menggunakan petunjuk dan perintah sistem yang ditulis untuk satu model dengan model yang berbeda.
Kami menawarkan dua pendekatan untuk mengoptimalkan perintah:
Pengoptimal
zero-shot
adalah pengoptimal latensi rendah real-time yang meningkatkan kualitas satu perintah atau template petunjuk sistem. Fitur ini cepat dan tidak memerlukan penyiapan tambahan selain memberikan perintah atau petunjuk sistem asli Anda.
Pengoptimal berbasis data adalah pengoptimal iteratif tingkat tugas batch yang meningkatkan kualitas perintah dengan mengevaluasi respons model terhadap perintah berlabel sampel berdasarkan metrik evaluasi yang ditentukan untuk model target yang Anda pilih. Fitur ini ditujukan untuk pengoptimalan
yang lebih canggih yang memungkinkan Anda mengonfigurasi parameter pengoptimalan dan memberikan
beberapa sampel berlabel.
Metode ini tersedia bagi pengguna melalui antarmuka pengguna (UI) atau Vertex AI SDK.
Model target yang didukung untuk pengoptimalan
Pengoptimal zero-shot tidak bergantung pada model dan dapat meningkatkan kualitas perintah untuk model Google apa pun.
Pengoptimal berbasis data hanya mendukung pengoptimalan untuk model Gemini yang tersedia secara umum.
[[["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."],[],[],null,["# Optimize prompts\n\nThis document describes how to use the Vertex AI prompt optimizer to\nautomatically optimize prompt performance by improving the [system\ninstructions](/vertex-ai/generative-ai/docs/learn/prompts/system-instructions) for a set of\nprompts.\n\nThe Vertex AI prompt optimizer can help you improve your prompts\nquickly at scale, without manually rewriting system instructions or individual\nprompts. This is especially useful when you want to use system instructions and\nprompts that were written for one model with a different model.\n\nWe offer two approaches for optimizing prompts:\n\n- The [**zero-shot\n optimizer**](/vertex-ai/generative-ai/docs/learn/prompts/zero-shot-optimizer) is a real-time low-latency optimizer that improves a single prompt or system instruction template. It is fast and requires no additional setup besides providing your original prompt or system instruction.\n- The [**data-driven\n optimizer**](/vertex-ai/generative-ai/docs/learn/prompts/data-driven-optimizer) is a batch task-level iterative optimizer that improves prompts by evaluating the model's response to sample labeled prompts against specified evaluation metrics for your selected target model. It's for more advanced optimization that lets you configure the optimization parameters and provide a few labeled samples.\n\nThese methods are available to users through the user interface (UI) or the\nVertex AI SDK.\n| To see an example of optimizing prompts, run one of the following Jupyter notebooks:\n|\n| - Vertex AI prompt optimizer: [Open in Colab](https://colab.research.google.com/github/GoogleCloudPlatform/generative-ai/blob/main/gemini/prompts/prompt_optimizer/vertex_ai_prompt_optimizer_ui.ipynb) \\| [Open in Colab Enterprise](https://console.cloud.google.com/vertex-ai/colab/import/https%3A%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fgenerative-ai%2Fmain%2Fgemini%2Fprompts%2Fprompt_optimizer%2Fvertex_ai_prompt_optimizer_ui.ipynb) \\| [Open in Vertex AI Workbench user-managed notebooks](https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https%3A%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fgenerative-ai%2Fmain%2Fgemini%2Fprompts%2Fprompt_optimizer%2Fvertex_ai_prompt_optimizer_ui.ipynb) \\| [View on GitHub](https://github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/prompts/prompt_optimizer/vertex_ai_prompt_optimizer_ui.ipynb)\n| - Vertex AI prompt optimizer SDK: [Open in Colab](https://colab.research.google.com/github/GoogleCloudPlatform/generative-ai/blob/main/gemini/prompts/prompt_optimizer/vertex_ai_prompt_optimizer_sdk.ipynb) \\| [Open in Colab Enterprise](https://console.cloud.google.com/vertex-ai/colab/import/https%3A%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fgenerative-ai%2Fmain%2Fgemini%2Fprompts%2Fprompt_optimizer%2Fvertex_ai_prompt_optimizer_sdk.ipynb) \\| [Open in Vertex AI Workbench user-managed notebooks](https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https%3A%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fgenerative-ai%2Fmain%2Fgemini%2Fprompts%2Fprompt_optimizer%2Fvertex_ai_prompt_optimizer_sdk.ipynb) \\| [View on GitHub](https://github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/prompts/prompt_optimizer/vertex_ai_prompt_optimizer_sdk.ipynb)\n| - Vertex AI prompt optimizer custom metrics: [Open in Colab](https://colab.research.google.com/github/GoogleCloudPlatform/generative-ai/blob/main/gemini/prompts/prompt_optimizer/vertex_ai_prompt_optimizer_sdk_custom_metric.ipynb) \\| [Open in Colab Enterprise](https://console.cloud.google.com/vertex-ai/colab/import/https%3A%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fgenerative-ai%2Fmain%2Fgemini%2Fprompts%2Fprompt_optimizer%2Fvertex_ai_prompt_optimizer_sdk_custom_metric.ipynb) \\| [Open in Vertex AI Workbench user-managed notebooks](https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https%3A%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fgenerative-ai%2Fmain%2Fgemini%2Fprompts%2Fprompt_optimizer%2Fvertex_ai_prompt_optimizer_sdk_custom_metric.ipynb) \\| [View on GitHub](https://github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/prompts/prompt_optimizer/vertex_ai_prompt_optimizer_sdk_custom_metric.ipynb)\n| **Important:** While Prompt Optimizer is [generally available](/products#product-launch-stages), its SDK library is still experimental. This means that the SDK is subject to change at any time without notice. We are continuously working to improve and stabilize the SDK. You may encounter bugs or changes to APIs and functionality.\n\nSupported target models for optimization\n----------------------------------------\n\nThe zero-shot optimizer is model independent and can improve prompts for any\nGoogle model.\n\nThe data-driven optimizer supports optimization for only generally available\nGemini models.\n\nWhat's next\n-----------\n\n- Learn about [zero-shot optimizer](/vertex-ai/generative-ai/docs/learn/prompts/zero-shot-optimizer)\n\n- Learn about [data-driven optimizer](/vertex-ai/generative-ai/docs/learn/prompts/data-driven-optimizer)"]]
