AI frameworks are essential tools for developing and deploying artificial intelligence applications. These frameworks provide pre-built libraries, algorithms, and interfaces that streamline the AI development process. Popular frameworks like TensorFlow, PyTorch, and Scikit-learn enable developers to create scalable machine learning models with ease. By offering flexibility, compatibility, and performance optimization,  AI Frameworks empower organizations to accelerate innovation. They support a wide range of applications, from natural language processing to computer vision. Choosing the right framework ensures efficiency and enhances the ability to harness AI’s full potential.