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What is Generative model?

A generative model is a type of machine learning algorithm that learns from data distributions to create new, realistic samples. Examples include GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders), which generate images, text, and videos for applications like AI art, deepfake technology, and content generation.

Personal Data Protection Bill
The Personal Data Protection Bill (PDPB) is a proposed legislative framework aimed at defining rules for data collection, storage, and security. It sets out provisions for user consent, data processing limitations, cross-border data transfers, and penalties for non-compliance. The PDPB serves as a foundation for strengthening data privacy rights and ensuring responsible data handling by businesses and government agencies.
AI Code Generation
AI code generation involves using artificial intelligence to automatically generate software code based on natural language descriptions or existing code patterns. It enhances developer productivity by reducing manual coding efforts and ensuring adherence to best practices.
Data re-identification
Data re-identification is the process of reversing data anonymization techniques to identify individuals within a dataset. It poses privacy risks, as previously de-identified data can be matched with external sources to reveal sensitive personal information. This issue is addressed by privacy regulations such as GDPR, which impose strict penalties for unauthorized re-identification.