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When using gemini models, prompts and metadata are sent to gcp, which makes the following data commitment: Gemini doesn't use your prompts, or its responses, as data to train its models. A multinational financial services firm deployed a large-scale azure ai model registry to support predictive analytics and portfolio optimization.
As artificial intelligence (ai) workloads become central to business operations, particularly in regulated industries, the long-term compliance and archival of ai models and datasets are critical.
