The top Ten AI websites allow you to make money with their tools.

The list of websites is as follows:

1. OpenAI — OpenAI is a research lab for artificial intelligence with the goal of responsibly developing and advancing friendly AI. It offers access to the GPT-3 language model as well as other machine learning and deep learning tools and resources.
2. Google AI — Google AI is a platform that gives academics, programmers, and businesses access to a range of AI resources and tools, such as deep learning and machine learning libraries, cloud-based machine learning systems, and APIs for image recognition and natural language processing.
3. IBM Watson: IBM Watson is a platform for creating AI-enabled services and applications, such as deep learning, machine learning, and natural language processing. Additionally, it gives users access to a range of tools and APIs for creating and implementing AI solutions.
4. Microsoft Azure is a cloud-based platform that allows the development, deployment, and management of artificial intelligence (AI) services and applications, including deep learning and machine learning features. Additionally, it gives users access to a range of tools and APIs for creating and implementing AI solutions.
5. TensorFlow is an open-source machine learning library that lets programmers create and implement sophisticated artificial intelligence models and applications. It is extensively utilized for deep learning and machine learning research and development in both academia and industry.
6. With the help of the open-source deep learning library Keras, developers can create and train deep learning models quickly and simply. It is constructed on top of other well-known machine learning libraries, like Theano and TensorFlow.
7. PyTorch is an open-source machine learning library that is extensively utilized in both academia and industry for deep learning research and development. It offers a range of resources and tools for creating and implementing AI apps and models.
8. Scikit-learn is a well-known open-source machine-learning library for Python that offers a variety of resources and tools for creating and implementing machine-learning models. These resources and tools include supervised and unsupervised learning algorithms, as well as tools for feature extraction, data preprocessing, and model evaluation.
9. NVIDIA Deep Learning Institute: For developers and researchers wishing to create and implement AI models and applications, including deep learning and machine learning features, NVIDIA’s Deep Learning Institute offers a range of training programs and resources.
10. Machine learning models and applications can be created, deployed, and managed using the cloud-based platform Amazon SageMaker. For data preprocessing, model training, and deployment, it offers a range of resources and tools, including support for deep learning frameworks like TensorFlow and PyTorch.