mirror of
https://github.com/GoogleCloudPlatform/vertex-ai-samples.git
synced 2026-09-26 14:42:04 +00:00
refactor(egen): Refactored the Autosxs check alignment against human preference data code as per template guidelines (#3062)
* refactor, chore: Updated markdown according to the updated notebook template and performed linter test
* Revert "refactor, chore: Updated markdown according to the updated notebook template and performed linter test"
This reverts commit c91fa09431.
* refactor, chore: Updated markdown according to the updated notebook template and performed linter test
This commit is contained in:
+80
-154
@@ -33,24 +33,26 @@
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"\n",
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"\n",
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"<table align=\"left\">\n",
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"\n",
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" <td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/model_evaluation/model_based_llm_evaluation/autosxs_check_alignment_against_human_preference_data.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Google Colaboratory logo\"><br> Open in Colab\n",
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" </a>\n",
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" </td>\n",
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" <td>\n",
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" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/model_evaluation/model_based_llm_evaluation/autosxs_check_alignment_against_human_preference_data.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
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" View on GitHub\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fvertex-ai-samples%2Fmain%2Fnotebooks%2Fofficial%2Fmodel_evaluation%2Fmodel_based_llm_evaluation%2Fautosxs_check_alignment_against_human_preference_data.ipynb\">\n",
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" <img width=\"32px\" src=\"https://cloud.google.com/ml-engine/images/colab-enterprise-logo-32px.png\" alt=\"Google Cloud Colab Enterprise logo\"><br> Open in Colab Enterprise\n",
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" </a>\n",
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" </td>\n",
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" <td>\n",
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" </td> \n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/model_evaluation/model_based_llm_evaluation/autosxs_check_alignment_against_human_preference_data.ipynb\">\n",
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" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
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" Open in Vertex AI Workbench\n",
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" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\"><br> Open in Workbench\n",
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" </a>\n",
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" </td> \n",
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" </td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/model_evaluation/model_based_llm_evaluation/autosxs_check_alignment_against_human_preference_data.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\"><br> View on GitHub\n",
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" </a>\n",
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" </td>\n",
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"</table>"
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]
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},
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@@ -114,15 +116,22 @@
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"to generate a cost estimate based on your projected usage."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "6a571eed9ece"
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},
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"source": [
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"## Get Started"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "i7EUnXsZhAGF"
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},
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"source": [
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"## Installation\n",
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"\n",
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"Install the following packages required to execute this notebook."
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"### Install Vertex AI SDK for Python and other required packages \n"
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]
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},
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{
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@@ -133,7 +142,7 @@
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},
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"outputs": [],
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"source": [
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"! pip3 install --upgrade \\\n",
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"! pip3 install --upgrade --quiet \\\n",
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" google-cloud-aiplatform \\\n",
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" google-cloud-pipeline-components \\\n",
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" gcsfs"
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@@ -142,59 +151,80 @@
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "58707a750154"
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"id": "R5Xep4W9lq-Z"
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},
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"source": [
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"### Colab only: Uncomment the following cell to restart the kernel."
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"### Restart runtime (Colab only)\n",
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"\n",
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"To use the newly installed packages, you must restart the runtime on Google Colab."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "f200f10a1da3"
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"id": "XRvKdaPDTznN"
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},
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"outputs": [],
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"source": [
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"# import IPython\n",
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"import sys\n",
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"\n",
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"# app = IPython.Application.instance()\n",
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"# app.kernel.do_shutdown(True)"
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"if \"google.colab\" in sys.modules:\n",
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"\n",
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" import IPython\n",
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"\n",
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" app = IPython.Application.instance()\n",
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" app.kernel.do_shutdown(True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "BF1j6f9HApxa"
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"id": "54c5ef8a8f43"
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},
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"source": [
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"## Before you begin\n",
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"\n",
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"### Set up your Google Cloud project\n",
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"\n",
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"**The following steps are required, regardless of your notebook environment.**\n",
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"\n",
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"1. [Select or create a Google Cloud project](https://console.cloud.google.com/cloud-resource-manager). When you first create an account, you get a $300 free credit towards your compute/storage costs.\n",
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"\n",
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"2. [Make sure that billing is enabled for your project](https://cloud.google.com/billing/docs/how-to/modify-project).\n",
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"\n",
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"3. [Enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com).\n",
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"\n",
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"4. If you are running this notebook locally, you need to install the [Cloud SDK](https://cloud.google.com/sdk)."
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"<div class=\"alert alert-block alert-warning\">\n",
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"<b>⚠️ The kernel is going to restart. Wait until it's finished before continuing to the next step. ⚠️</b>\n",
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"</div>\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "WReHDGG5g0XY"
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"id": "f82e28c631cc"
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},
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"source": [
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"#### Set your project ID\n",
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"### Authenticate your notebook environment (Colab only)\n",
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"\n",
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"**If you don't know your project ID**, try the following:\n",
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"* Run `gcloud config list`.\n",
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"* Run `gcloud projects list`.\n",
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"* See the support page: [Locate the project ID](https://support.google.com/googleapi/answer/7014113)"
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"Authenticate your environment on Google Colab."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "46604f70e831"
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},
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"outputs": [],
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"source": [
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"import sys\n",
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"\n",
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"if \"google.colab\" in sys.modules:\n",
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"\n",
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" from google.colab import auth\n",
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"\n",
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" auth.authenticate_user()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "ef3990d0482a"
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},
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"source": [
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"### Set Google Cloud project information and initialize Vertex AI SDK for Python\n",
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"\n",
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"To get started using Vertex AI, you must have an existing Google Cloud project and [enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com). Learn more about [setting up a project and a development environment](https://cloud.google.com/vertex-ai/docs/start/cloud-environment)."
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]
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},
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{
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@@ -206,110 +236,7 @@
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"outputs": [],
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"source": [
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"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}\n",
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"\n",
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"# Set the project id\n",
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"! gcloud config set project {PROJECT_ID}"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "region"
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},
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"source": [
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"#### Region\n",
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"\n",
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"You may change the `REGION` variable, which is used for operations\n",
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"throughout the rest of this notebook. Below are regions supported for AutoSxS.\n",
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"\n",
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"- Americas: `us-central1`\n",
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"- Europe: `europe-west4`\n",
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"- Asia Pacific: `asia-southeast1`\n",
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"\n",
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"You can also change the `REGION` variable used by Vertex AI. Learn more about [Vertex AI regions](https://cloud.google.com/vertex-ai/docs/general/locations)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "veaqVTqxIxGy"
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},
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"outputs": [],
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"source": [
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"REGION = \"us-central1\" # @param {type: \"string\"}"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "sBCra4QMA2wR"
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},
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"source": [
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"### Authenticate your Google Cloud account\n",
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"\n",
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"Depending on your Jupyter environment, you may have to manually authenticate. Follow the relevant instructions below."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "74ccc9e52986"
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},
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"source": [
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"**1. Vertex AI Workbench**\n",
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"* Do nothing as you are already authenticated."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "de775a3773ba"
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},
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"source": [
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"**2. Local JupyterLab instance, uncomment and run:**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "254614fa0c46"
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},
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"outputs": [],
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"source": [
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"# ! gcloud auth login"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "ef21552ccea8"
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},
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"source": [
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"**3. Colab, uncomment and run:**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "603adbbf0532"
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},
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"outputs": [],
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"source": [
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"# from google.colab import auth\n",
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"# auth.authenticate_user()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "f6b2ccc891ed"
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},
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"source": [
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"**4. Service account or other**\n",
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"* See how to grant Cloud Storage permissions to your service account at https://cloud.google.com/storage/docs/gsutil/commands/iam#ch-examples."
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"LOCATION = \"us-central1\" # @param {type:\"string\"}"
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]
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},
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{
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@@ -320,7 +247,7 @@
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"source": [
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"### UUID\n",
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"\n",
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"We define a UUID generation function to avoid resource name collisions on resources created within the notebook."
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"Define a UUID generation function to avoid resource name collisions on resources created within the notebook."
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]
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},
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{
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@@ -389,7 +316,7 @@
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"):\n",
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" BUCKET_URI = \"gs://\" + PROJECT_ID + \"-aip-\" + UUID\n",
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"\n",
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"! gsutil mb -l $REGION -p $PROJECT_ID $BUCKET_URI"
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"! gsutil mb -l $LOCATION -p $PROJECT_ID $BUCKET_URI"
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]
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},
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{
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@@ -445,7 +372,7 @@
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},
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"outputs": [],
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"source": [
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"aiplatform.init(project=PROJECT_ID, location=REGION, staging_bucket=BUCKET_URI)"
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"aiplatform.init(project=PROJECT_ID, location=LOCATION, staging_bucket=BUCKET_URI)"
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]
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},
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{
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@@ -454,7 +381,7 @@
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"id": "ljpNHjC9NYtG"
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},
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"source": [
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"## Tutorial\n",
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"### Tutorial\n",
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"It is unlikely that the autorater will perform at the same level as human raters in all customer use cases, especially in cases where human raters are expected to have specialized knowledge.\n",
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"\n",
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"The tutorial below shows how AutoSxS helps to determine if you can trust the autorater once you have the ground-truth human-preference data.\n"
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@@ -759,7 +686,7 @@
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"outputs": [],
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"source": [
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"# To use an existing pipeline, override job using the line below.\n",
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"# job = aiplatform.PipelineJob.get('projects/[PROJECT_NUMBER]/locations/[REGION]/pipelineJobs/[PIPELINE_RUN_NAME]')\n",
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"# job = aiplatform.PipelineJob.get('projects/[PROJECT_NUMBER]/locations/[LOCATION]/pipelineJobs/[PIPELINE_RUN_NAME]')\n",
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"\n",
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"for details in job.task_details:\n",
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" if details.task_name == \"online-evaluation-pairwise\":\n",
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@@ -832,8 +759,7 @@
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"source": [
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"## Cleaning up\n",
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"\n",
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"To clean up all Google Cloud resources used in this project, you can [delete the Google Cloud\n",
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"project](https://cloud.google.com/resource-manager/docs/creating-managing-projects#shutting_down_projects) you used for the tutorial.\n",
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"To clean up all Google Cloud resources used in this project, you can [delete the Google Cloud project](https://cloud.google.com/resource-manager/docs/creating-managing-projects#shutting_down_projects) you used for the tutorial.\n",
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"\n",
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"Otherwise, you can delete the individual resources you created in this tutorial:\n",
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"\n",
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@@ -854,7 +780,7 @@
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"\n",
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"# Delete Cloud Storage objects that were created\n",
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"delete_bucket = False\n",
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"if delete_bucket or os.getenv(\"IS_TESTING\"):\n",
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"if delete_bucket:\n",
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" ! gsutil -m rm -r $BUCKET_URI"
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]
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}
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Reference in New Issue
Block a user