AI frameworks provide the tools needed to develop and deploy machine learning models efficiently. Popular frameworks like TensorFlow, PyTorch, and Keras simplify deep learning model creation, while Scikit-learn supports traditional machine learning algorithms. AI frameworks enable developers to build natural language processing (NLP), computer vision, and automation applications with ease. Cloud-based AI frameworks like Google AI and Microsoft Azure AI offer scalable solutions for enterprises. Understanding different AI frameworks helps businesses choose the best tools for their projects. Explore the top AI frameworks, their features, and how they streamline AI development across various industries.