Top AI tools in 2023

here are some of the most popular AI tools in 2021 that are likely to continue to be popular in 2023

• TensorFlow: This is an open-source machine learning framework developed by Google that is used for building and training neural networks. TensorFlow is widely used in various fields, including computer vision, natural language processing, and robotics.
• PyTorch: PyTorch is another open-source machine learning framework that is widely used in research and industry. It is known for its ease of use and is used in many applications, including image and speech recognition, and natural language processing.
• Keras: Keras is a high-level neural network API written in Python. It is easy to use and is widely used for building and training deep learning models.
• Microsoft Cognitive Toolkit (CNTK): This is a free, open-source deep learning framework developed by Microsoft. CNTK is designed to work with a wide range of deep learning models and is used in many applications, including speech recognition, image recognition, and natural language processing.
• Apache MXNet: Apache MXNet is a scalable, open-source deep learning framework that is widely used in industry and research. It is known for its flexibility and ability to work with multiple programming languages.
• H2O.ai: H2O.ai is an open-source machine learning platform that is designed to be easy to use and scale. It is widely used in industry and research for various applications, including fraud detection, customer segmentation, and predictive maintenance.

These are just a few of the many AI tools available in the market. As the field of AI continues to evolve, new tools and frameworks will emerge, and existing ones will continue to improve and gain popularity.