Gen AI evaluation service

Related topics

• Cloud Storage works with Gen AI evaluation service From the official documentation: “In the **Name and storage configuration** section, specify a name for your evaluation and a Cloud Storage bucket where your evaluations results are stored.”
• Gemini Enterprise Agent Platform works with Gen AI evaluation service From the official documentation: “The Gen AI evaluation service parses this structure automatically to provide integration with other Gemini Enterprise Agent Platform services.”
• Gen AI evaluation service is part of Gemini Enterprise Agent Platform From the official documentation: “The Gen AI evaluation service in Gemini Enterprise Agent Platform lets you evaluate any model with explainable metrics.”
• Gen AI evaluation service works with Vertex AI SDK From the official documentation: “With the Gen AI evaluation service, you can trigger an agent execution and get metrics for both trajectory evaluation and final response evaluation in one Vertex AI SDK query.”
• BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
• Cloud Storage works with Cloud Storage FUSE From the official documentation: “Use Cloud Storage FUSE to mount a Cloud Storage bucket across all nodes.”
• Cloud Run works with Cloud Storage From the official documentation: “Route Cloud Storage events to Cloud Run”
• BigQuery ML works with Cloud Storage From the official documentation: “You can export BigQuery ML models to Cloud Storage, and use them for online prediction, or edit them in Python.”
• customer-managed encryption keys secures Cloud Storage From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
• BigQuery works with Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• customer-managed encryption keys secures BigQuery From the official documentation: “You can either create CMEKs manually to protect your BigQuery resources or use Cloud KMS Autokey.”
• Cloud Storage works with customer-managed encryption keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
• Cloud Storage works with Identity and Access Management From the official documentation: “To learn how to use IAM with Cloud Storage, see [Using IAM Permissions](/storage/docs/access-control/using-iam-permissions).”
• customer-managed encryption keys secures Gemini Enterprise Agent Platform From the official documentation: “Enable customer-managed encryption keys (CMEK) for the Gemini Enterprise Agent Platform to gain more control over data encryption and key management.”
• BigQuery ML works with Gemini Enterprise Agent Platform From the official documentation: “You can also access Agent Platform models by using BigQuery ML.”
• Identity and Access Management secures BigQuery From the official documentation: “Access to BigQuery data from AlloyDB is managed through IAM.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• BigQuery ML is part of BigQuery From the official documentation: “BigQuery ML lets you use SQL in BigQuery to perform machine learning (ML) and predictive analytics.”
• Cloud Run works with Cloud Storage FUSE From the official documentation: “Using Cloud Storage FUSE can slightly increase your Cloud Run container cold start time because Cloud Run starts the volume mount prior to starting the container(s).”
• BigQuery works with Cloud Run From the official documentation: “You can then use Cloud Run to transcode data present in the bucket and move it to BigQuery.”
• Cloud Run works with Identity and Access Management From the official documentation: “Cloud Run also offers the ability to control access to a service with Identity and Access Management (IAM).”
• Cloud Storage works with Gemini Enterprise Agent Platform From the official documentation: “This page describes how to use Gemini Enterprise Agent Platform to export your image AutoML Edge models to Cloud Storage.”
• Cloud Storage FUSE depends on Cloud Storage From the official documentation: “Note that Cloud Storage FUSE successfully mounts a volume only after establishing a connection to Cloud Storage.”
• customer-managed encryption keys is part of Cloud Storage From the official documentation: “[Cloud Storage](/storage/docs/introduction) provides features such as customer-managed encryption, lifecycle management, and aging and retention policies.”
• Identity and Access Management secures Gemini Enterprise Agent Platform From the official documentation: “Agent Platform uses IAM to manage access to resources.”
• BigQuery works with BigQuery ML From the official documentation: “BigQuery ML lets you build and operationalize machine learning (ML) models over data in BigQuery by using SQL.”
• BigQuery depends on Cloud Storage From the official documentation: “BigQuery relies on Cloud Storage for staging file data and supports reading from and writing to several other sources and Google Cloud services.”
• Cloud Run depends on Cloud Storage FUSE From the official documentation: “Since Cloud Run uses [Cloud Storage FUSE](/storage/docs/gcs-fuse) for this volume mount, there are a few things to keep in mind when mounting a Cloud Storage bucket as a volume:”
• Cloud Run is an alternative to Gemini Enterprise Agent Platform From the official documentation: “The application that's deployed on Cloud Run or on Gemini Enterprise routes the request to the SOC manager.”
• Cloud Storage FUSE works with Gemini Enterprise Agent Platform From the official documentation: “Agent Platform uses [Cloud Storage FUSE](/storage/docs/gcs-fuse) to mount the storage buckets.”
• customer-managed encryption keys secures Cloud Run From the official documentation: “If you want to control your encryption keys, then you can use customer-managed encryption keys (CMEKs) in [Cloud KMS](/kms/docs) with CMEK-integrated services including Cloud Run.”
• Gemini Enterprise Agent Platform depends on Cloud Storage From the official documentation: “Certain tasks in Agent Platform require that you use additional Google Cloud products besides Agent Platform. For example, in most cases, you must use Cloud Storage and Artifact Registry when you create a custom training pipeline.”
• Gemini Enterprise Agent Platform depends on Identity and Access Management From the official documentation: “Agent Platform uses IAM to manage access to resources.”
• Gemini Enterprise Agent Platform works with Identity and Access Management From the official documentation: “Learn more about [Gemini Enterprise Agent Platform access control with IAM](/gemini-enterprise-agent-platform/machine-learning/general/access-control).”
• Identity and Access Management secures Cloud Run From the official documentation: “Cloud Run services are secured by IAM.”