How Google's New AI Model Protects User Privacy without Sacrificing Performance
VaultGemma integrates differential privacy during pretraining to prevent data leakage, achieving privacy standards verified externally while maintaining performance comparable to older models, Google said.
8 Articles
8 Articles
How Google’s new AI model protects user privacy without sacrificing performance
Google researchers unveil VaultGemma, an LLM designed to generate high-quality outputs without memorizing training data. Here’s how it works. This article has been indexed from Latest news Read the original article: How Google’s new AI model protects user privacy without… Read more → The post How Google’s new AI model protects user privacy without sacrificing performance appeared first on IT Security News.
Google, in collaboration with its DeepMind, announced this week the launch of VaultGemma - an open-source artificial intelligence model, designed from the ground up to deal with one of the main threats in the field: the disclosure of information from sensitive texts from which the model learned. This is a model with a billion parameters - the largest of its kind available to the developer community - which has been trained using strict differen…
Google announces 'VaultGamma,' a differential privacy-based LLM
Google has announced VaultGemma , its first privacy-focused large-scale language model (LLM), trained from scratch using a technique called differential privacy (DP). This aims to address the privacy risk of AI models 'memorizing' the contents of their training data and unintentionally outputting them. VaultGemma: The world's most capable differentially private LLM https://research.google/blog/vaultgemma-the-worlds-most-capable-differentially-pr…
Google unveils VaultGemma, a privacy-focused language model
Google Research has introduced VaultGemma, its first privacy-preserving large language model (LLM), which aims to protect training data while enhancing AI capabilities. This development highlights the growing emphasis on data privacy in AI, addressing concerns over the use of sensitive information in model training. By demonstrating that AI models can maintain privacy, Google sets a precedent for future innovations in the field. The post Google …
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