What measures do you take to secure sensitive data during model training?
Answer Posted / Vijay Agrawal
To secure sensitive data, several measures can be taken. These include anonymizing or pseudonymizing the training data; using differential privacy techniques to protect individual records while still allowing for useful learning; and ensuring that all training data is stored and transmitted securely.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers
What does "accelerating AI functions" mean, and why is it important?
What are Large Language Models (LLMs), and how do they relate to foundation models?
How do you identify and mitigate bias in Generative AI models?
What are the risks of using open-source Generative AI models?
What tools do you use for managing Generative AI workflows?
What are the best practices for deploying Generative AI models in production?
How does a cloud data platform help in managing Gen AI projects?
What are pretrained models, and how do they work?
What are the ethical considerations in deploying Generative AI solutions?
How do you ensure compatibility between Generative AI models and other AI systems?
What are the limitations of current Generative AI models?
How do you integrate Generative AI models with existing enterprise systems?
What is Generative AI, and how does it differ from traditional AI models?
Why is data considered crucial in AI projects?
How do Generative AI models create synthetic data?