Protecting Sensitive Data in Gen AI Model Responses

Complete this Guided Project in under 2 hours. This is a self-paced lab that takes place in the Google Cloud console. In this lab, you implement sensitive ...

• Access a pre-created Jupyter notebook in a Vertex AI Workbench instance
• Install Python packages for Vertex AI and Cloud Data Loss Prevention API. Generate example text with sensitive data using the Gemini 1.0 Pro model
• Define and run Python functions to redact different types of sensitive data in Gemini 1.0 Pro model responses using the DLP API