Generative AI (Gen AI) data preparation

Generative AI (Gen AI) Data Preparation involves curating and refining large, diverse datasets to train models capable of generating content such as text, images, or code. This process includes collecting high-quality, domain-relevant data, cleaning and de- duplicating it, applying appropriate labels or annotations, and ensuring data is unbiased and representative. Given the complexity of Gen AI models, data preparation also requires formatting inputs to align with model architecture and use case requirements. Effective preparation ensures that Gen AI outputs are accurate, coherent, and contextually relevant.