Generative AI models can create high-quality content but may also produce inaccurate or nonsensical outputs known as AI hallucinations, impacting reliability.
AI hallucinations are caused by factors like lack of real-world knowledge, bias in training data, overfitting, uncertainty, and probabilistic nature of models.
To address AI hallucinations, Genkit-AI emphasizes structured outputs using schemas, guiding models to generate data that adheres to predefined formats.
Genkit-AI example in Node.js showcases how specifying schemas for output fields ensures the generated data conforms to expected structures, enhancing data integrity.