Understanding Generative AI Models Architecture
Generative AI model architecture refers to the design and framework that enable AI systems to generate new, original content—such as images, text, music, or even software code—by learning patterns from large datasets. These AI models use the information they learn from data to create something new that resembles real-world data, like generating realistic images of faces or writing human-like text. Generative AI opens up various possibilities across various industries, including entertainment, design, automation, and data analysis.
At a high level, generative AI models consist of two main processes: learning and generating. The model first learns from the data it's trained on, and then, based on what it has learned, it generates new content. The key to making this possible is the model's architecture—how the different components are arranged to process data and produce meaningful outputs. Understanding this...
