From cddfb9cb09b674066fddcdf743d2feec7bcef518 Mon Sep 17 00:00:00 2001 From: kittyabs <60188613+kittyabs@users.noreply.github.com> Date: Thu, 27 Jun 2024 16:50:58 -0700 Subject: [PATCH] Featurestore notebook egen edited (#3167) * Update build_model_experimentation_lineage_with_prebuild_code.ipynb added colab enterprise logo and link * Update build_model_experimentation_lineage_with_prebuild_code.ipynb hope I fixed the JSON issue * fix: remove new changes * Update vertex_ai_feature_store_based_llm_grounding_tutorial.ipynb remove back ticks from product/feature names * Update vertex_ai_feature_store_feature_view_service_agents.ipynb remove back ticks --------- Co-authored-by: Katie Nguyen <21978337+katiemn@users.noreply.github.com> --- ...eature_store_based_llm_grounding_tutorial.ipynb | 14 +++++++------- ...feature_store_feature_view_service_agents.ipynb | 4 ++-- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/notebooks/official/feature_store/vertex_ai_feature_store_based_llm_grounding_tutorial.ipynb b/notebooks/official/feature_store/vertex_ai_feature_store_based_llm_grounding_tutorial.ipynb index 078369169..5bdf6bd55 100644 --- a/notebooks/official/feature_store/vertex_ai_feature_store_based_llm_grounding_tutorial.ipynb +++ b/notebooks/official/feature_store/vertex_ai_feature_store_based_llm_grounding_tutorial.ipynb @@ -74,16 +74,16 @@ "source": [ "### Objective\n", "\n", - "In this tutorial, you learn how to create and use an online feature store instance to host and serve data in `BigQuery` with `Vertex AI Feature Store` in an end to end workflow of features serving and vector retrieval user journey.\n", + "In this tutorial, you learn how to create and use an online feature store instance to host and serve data in BigQuery with Vertex AI Feature Store in an end to end workflow of features serving and vector retrieval user journey.\n", "\n", "This tutorial uses the following Google Cloud ML services and resources:\n", "\n", - "- `Vertex AI Feature Store`\n", + "- Vertex AI Feature Store\n", "\n", "The steps performed include:\n", "\n", "- Provision an online feature store instance to host and serve data.\n", - "- Create an online feature store instance to serve a `BigQuery` table.\n", + "- Create an online feature store instance to serve a BigQuery table.\n", "- Use the online server to search nearest neighbors." ] }, @@ -105,7 +105,7 @@ "source": [ "### Dataset\n", "\n", - "This tutorial uses the [Google Patents Public Data](https://console.cloud.google.com/marketplace/product/google_patents_public_datasets/google-patents-public-data) dataset from the `BigQuery` public datasets.\n" + "This tutorial uses the [Google Patents Public Data](https://console.cloud.google.com/marketplace/product/google_patents_public_datasets/google-patents-public-data) dataset from the BigQuery public datasets.\n" ] }, { @@ -118,9 +118,9 @@ "\n", "This tutorial uses billable components of Google Cloud:\n", "\n", - "* `Vertex AI`\n", - "* `BigQuery`\n", - "* `Cloud Storage`\n", + "* Vertex AI\n", + "* BigQuery\n", + "* Cloud Storage\n", "\n", "Learn about [Vertex AI pricing](https://cloud.google.com/vertex-ai/pricing),\n", "[BigQuery pricing](https://cloud.google.com/bigquery/pricing), [Cloud Storage pricing](https://cloud.google.com/storage/pricing),\n", diff --git a/notebooks/official/feature_store/vertex_ai_feature_store_feature_view_service_agents.ipynb b/notebooks/official/feature_store/vertex_ai_feature_store_feature_view_service_agents.ipynb index c403018cf..0932663e5 100644 --- a/notebooks/official/feature_store/vertex_ai_feature_store_feature_view_service_agents.ipynb +++ b/notebooks/official/feature_store/vertex_ai_feature_store_feature_view_service_agents.ipynb @@ -89,8 +89,8 @@ "\n", "### Costs\n", "This tutorial uses billable components of Google Cloud:\n", - "* `Vertex AI`\n", - "* `BigQuery`\n", + "* Vertex AI\n", + "* BigQuery\n", "\n", "Learn about [Vertex AI pricing](https://cloud.google.com/vertex-ai/pricing) and [BigQuery pricing](https://cloud.google.com/bigquery/pricing) and use the [Pricing Calculator](https://cloud.google.com/products/calculator/) to generate a cost estimate based on your projected usage." ]