Ten free AI tools that anyone can use today.

1. Google AutoML:

   This is a suite of machine learning tools developed by Google that allows users to train their own models without needing to have a deep understanding of machine learning. It’s very user-friendly and easy to understand, making it a great option for beginners.

2. TensorFlow Playground:

   This is an interactive web-based tool that allows users to experiment with different neural network architectures and see how they affect the performance of a model. It’s easy to use and understand, making it a great option for those who want to learn more about neural networks.

3. DALL-E:

   Developed by OpenAI, DALL-E is an AI tool that can generate images from text descriptions. It’s a bit more complex to use than some of the other options on this list, but it’s still relatively easy to understand.

4. BigGAN:

   Another tool developed by OpenAI, BigGAN is a GAN that can generate high-resolution images. It’s a bit more complex to use than some of the other options on this list, but it’s still relatively easy to understand.

5. Hugging Face:

   This is a collection of pre-trained models that can be used for a variety of tasks, such as natural language processing and image classification. It’s easy to use and understand, making it a great option for beginners.

6. OpenCV:

   This is a collection of libraries for computer vision tasks, such as image processing and object detection. It’s a bit more complex to use than some of the other options on this list, but it’s still relatively easy to understand.

7. pix2pix:

   This is a machine-learning model that can be used to generate images from sketches or other drawings. It’s a bit more complex to use than some of the other options on this list, but it’s still relatively easy to understand.

9. ml5.js:

   This is a library that allows users to easily create machine learning models in JavaScript. It’s a bit more complex to use than some of the other options on this list, but it’s still relatively easy to understand.

10. Keras Tuner:

    This is a library for hyperparameter tuning that can be used to optimize the performance of machine learning models. It’s a bit more complex to use than some of the other options on this list, but it’s still relatively easy to understand.

12. scikit-learn:

    This is a collection of libraries for machine learning tasks, such as classification and regression. It’s a bit more complex to use than some of the other options on this list, but it’s still relatively easy to understand.

Overall, these ten free AI tools provide a great starting point for anyone who wants to experiment with AI and see what it can do. They range from easy to use and understand to a bit more complex, but all of them are accessible to anyone with an interest in AI.