AI Frameworks

AI frameworks are software tools and libraries that help developers create, train, and deploy artificial intelligence models more efficiently. They provide pre-built components and structures to handle complex tasks like data processing, model design, and optimization, saving time and reducing errors. Think of them as structured guides or toolkits that streamline the process of building intelligent systems, making AI development more accessible and consistent across projects. Examples include TensorFlow, PyTorch, and Scikit-learn, each offering different features suited to various AI applications.