AI frameworks are essential tools for developing and deploying artificial intelligence models. Frameworks like TensorFlow, PyTorch, Keras, and Microsoft CNTK provide a robust infrastructure for building deep learning and machine learning applications. These AI frameworks offer pre-built libraries, modular components, and scalable architectures that simplify the AI development process. Whether you’re working on computer vision, natural language processing, or predictive analytics, choosing the right AI framework can significantly impact model performance and efficiency. Businesses and developers use these frameworks to streamline model training, optimize computational power, and deploy AI models seamlessly across cloud or edge devices. Explore the most popular AI frameworks and leverage their capabilities to accelerate AI development and implementation.