IAPP
AIGP · Question #89
What is the best method to proactively train an LLM so that there is mathematical proof that no specific piece of training data has more than a negligible effect on the model or its output?
The correct answer is C. Differential privacy.. Differential privacy provides mathematical guarantees that individual data points have minimal influence on model outputs, protecting privacy during training.
AI Models and Data
Question
What is the best method to proactively train an LLM so that there is mathematical proof that no specific piece of training data has more than a negligible effect on the model or its output?
Options
- AClustering.
- BTransfer learning.
- CDifferential privacy.
- DData compartmentalization.
How the community answered
(30 responses)- A20% (6)
- B13% (4)
- C60% (18)
- D7% (2)
Explanation
Differential privacy provides mathematical guarantees that individual data points have minimal influence on model outputs, protecting privacy during training.
Topics
#differential privacy#LLM training#privacy-preserving ML#data protection
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