AI frameworks are essential tools that simplify the development, training, and deployment of artificial intelligence models. Popular AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn provide developers with pre-built libraries, allowing them to build AI applications efficiently. These frameworks support deep learning, reinforcement learning, and natural language processing, making them crucial for AI research and commercial applications. Businesses and researchers use AI frameworks to develop innovative solutions in industries such as healthcare, finance, and automation. Choosing the right AI framework depends on factors like scalability, ease of use, and compatibility with hardware. Learn about the top AI frameworks, their features, and how they drive advancements in artificial intelligence.