Building AI in 2026? Choose Smart. The right AI framework can supercharge your development, scale faster, and future-proof your innovation..TensorFlow: Google’s robust framework supports deep learning, large-scale deployment, and cross-platform AI apps..PyTorch: Flexible, dynamic, and perfect for rapid experimentation and model development..Keras: A high-level API that simplifies neural network building without sacrificing power..Hugging Face Transformers: Pre-trained models for text, vision, and audio tasks make AI development faster than ever..Scikit-learn: Ideal for traditional machine learning models like regression, clustering, and classification..Apache Spark MLlib: Perfect for scalable ML pipelines in distributed computing environments..ONNX: Enables seamless model transfer between different AI frameworks and platforms..JAX: Optimized for numerical computing and automatic differentiation at scale..Read More Stories.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp