AI frameworks are essential tools that provide the foundation for building and deploying intelligent models. This blog explores the most widely used AI frameworks—like TensorFlow, PyTorch, JAX, and Keras—and their roles in enabling deep learning, computer vision, and natural language processing. Learn how frameworks streamline model training, testing, and deployment across cloud, edge, and mobile platforms. Discover how open-source communities contribute to innovation and tool customization. The blog also covers framework selection based on project needs, scalability, performance, and ease of use. Understand how these frameworks integrate with libraries for data preprocessing, visualization, and model evaluation. Whether you're a beginner or expert, explore how the right framework accelerates AI development.