ENHANCED GENERATIVE AI MODEL TUNING

The present disclosure tunes a generative AI model using synthetic data. A system implementing a generative AI model may receive first input data. The first input data may include one or more rules. Based on the first input data, the system may generate an item of first synthetic data that complies with the one or more rules. Additionally, the system may receive second input data. The second input data may include a negation of the one or more rules received in the first input data, referred to as a modified set of rules. Moreover, the second input data may include the item of the first synthetic data. Based on the second input data, the system may generate an item of second synthetic data that violates the one or more rules. Subsequently, the system may tune the generative AI model based on the first synthetic data and the second synthetic data.