Artificial Intelligence (AI) is a rapidly growing field, and the demand for AI experts is increasing day by day. As a programmer, it's essential to have a good understanding of AI and its various applications. Here are the best 5 free AI tools that every programmer should know about:

TensorFlow

TensorFlow is an open-source machine learning framework developed by Google. It's a powerful tool for building and training machine learning models, and it's widely used by researchers and industry professionals. With TensorFlow, you can build complex models with ease, and it's well-documented and supported by a large community.

Keras

Keras is a high-level neural networks API that runs on top of TensorFlow. It's designed to make it easier for developers to build and experiment with neural networks. Keras is user-friendly, and it abstracts much of the complexity of TensorFlow, making it a great tool for beginners.

PyTorch

PyTorch is another open-source machine learning framework that's gaining popularity. It's developed by Facebook, and it's known for its ease of use and flexibility. PyTorch is designed to be more accessible to researchers, and it has a more intuitive API than TensorFlow.

OpenCV

OpenCV is an open-source computer vision library that provides tools for computer vision tasks such as object detection, image recognition, and face recognition. It's a great tool for developing AI applications that require computer vision, and it's widely used in industry and academia.

NLTK

The Natural Language Toolkit (NLTK) is a library for building and exploring AI applications in the field of Natural Language Processing (NLP). It provides tools for tokenizing, stemming, and lemmatizing text, as well as for performing sentiment analysis and other NLP tasks. NLTK is an excellent tool for those interested in developing AI applications in NLP.

In conclusion, these 5 free AI tools are a great starting point for programmers who want to learn and explore the world of Artificial Intelligence. Whether you're interested in building machine learning models, computer vision applications, or natural language processing systems, these tools will provide you with a solid foundation to build upon. So, start exploring and see where your AI journey takes you!