As companies move toward generative AI, the necessity of using proprietary customer data for training large language models raises significant privacy concerns, addressed through synthetic data.
Mostly AI's synthetic text functionality automates data generation, preserving patterns crucial for insights without exposing personally identifiable information (PII), thus enhancing data privacy.
Using synthetic data not only mitigates privacy risks associated with real-world data but can enhance model diversity, rebalance datasets, remove bias, and facilitate software testing.
Users can upload their proprietary datasets to Mostly AI's platform, configure their generators, and select from numerous models, underlining the company’s focus on user-driven automation in data generation.
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