VaultGemma: Differentially Private LLM Training

The majority of sources provide an overview of Google VaultGemma, a newly released 1-billion-parameter open-source large language model (LLM) trained entirely using Differential Privacy (DP), a technique that adds calibrated noise to prevent the model from memorizing and leaking sensitive training data. These articles from Google Research, tech news outlets, and an educational resource explain that VaultGemma represents a significant step toward privacy-preserving AI for sensitive industries like finance and healthcare, even though it currently exhibits a performance gap compared to non-private models. Separately, one source details a Google Cloud study showing that early adopters of AI agents are seeing higher returns on investment, suggesting a rapid industry shift toward these more autonomous AI systems. Finally, a distinct source clarifies that Google Vault is a separate eDiscovery and archiving tool for Google Workspace and should not be confused with a comprehensive data backup solution.