Demystifying AI Data Security: How Generative AI Works Behind the Scenes
Analysis
This article provides a clear and accessible explanation of how Generative AI models function, particularly focusing on the distinction between training and inference. It effectively addresses common concerns about data privacy by illustrating how user data is utilized within the system. This breakdown simplifies complex concepts for broader understanding.
Key Takeaways
- •Generative AI operates in two phases: training and inference, much like building and using a road network.
- •User data is not used to retrain the model, ensuring the core model's integrity and consistent outputs.
- •The article clarifies the data security aspects of Generative AI, addressing common concerns about data leakage and privacy.
Reference / Citation
View Original"In the actual use of AI, this does not happen."