Generative AI architecture is the backbone of models capable of creating text, images, code, and more. This blog delves into the components and design principles behind generative AI systems, including transformers, attention mechanisms, encoder-decoder structures, and diffusion models. It explains how data flows through these systems during training and inference, enabling high-quality content...

Generative AI architecture is the technical foundation that powers models capable of creating original text, images, audio, and code. It includes components like transformer networks, attention mechanisms, fine-tuning frameworks, and inference pipelines. This architecture supports scalability, efficiency, and creativity in various applications, from conversational agents and content generation...