AI frameworks are essential for building intelligent and scalable AI applications. These AI frameworks provide the necessary tools, libraries, and pre-built models to streamline development and deployment. Popular AI frameworks include TensorFlow, PyTorch, Keras, Scikit-learn, and Apache MXNet, each offering unique capabilities for deep learning, NLP, and image recognition. Businesses and developers must choose the right framework based on project requirements, scalability, and ease of use. Whether you're developing an AI-powered chatbot, predictive analytics tool, or an autonomous system, using the right AI framework can accelerate development. Explore the benefits, features, and real-world applications of leading AI frameworks and find out which one best suits your AI development needs.