Here are some of the most popular free AI tools available on the web:

  1. Google Colab 
    • URL: https://colab.research.google.com/
    • Overview: A cloud-based platform for Python coding and machine learning, providing free access to GPUs.
    • Features: Jupyter notebook environment, collaboration features, integration with Google Drive.
  2. TensorFlow Playground
    • URL: https://playground.tensorflow.org/
    • Overview: An interactive visualization tool for experimenting with neural networks.
    • Features: Build and train neural networks in a visual interface, explore different architectures.
  3. IBM Watson Studio
    • URL: https://www.ibm.com/cloud/watson-studio
    • Overview: A platform for data scientists and developers to build and train AI models.
    • Features: Tools for data preparation, model training, and deployment, integration with various data sources.
  4. Hugging Face
    • URL: https://huggingface.co/
    • Overview: A library and platform for natural language processing (NLP) models.
    • Features: Pre-trained models for tasks like text classification, translation, and question answering, user-friendly API.
  5. OpenAI’s GPT-3 Playground
    • URL: https://beta.openai.com/playground
    • Overview: A web-based interface to interact with OpenAI’s GPT-3 language model.
    • Features: Generate text, answer questions, create conversational agents, customizable settings.
  6. Teachable Machine by Google
    • URL: https://teachablemachine.withgoogle.com/
    • Overview: A simple tool to create machine learning models without coding.
    • Features: Train models using images, sounds, or poses, export models for use in apps and websites.
  7. Azure Machine Learning Studio
    • URL: https://studio.azureml.net/
    • Overview: A collaborative, drag-and-drop tool to build, test, and deploy machine learning models.
    • Features: Visual interface, integration with Azure cloud services, pre-built algorithms.
  8. Runway ML
    • URL: https://runwayml.com/
    • Overview: A platform for creating AI-powered content, focusing on artists and designers.
    • Features: Pre-trained models for tasks like image generation, style transfer, and object detection, intuitive interface.
  9. Google Cloud AutoML
    • URL: https://cloud.google.com/automl
    • Overview: A suite of machine learning products that enables developers to train high-quality models with minimal effort.
    • Features: Custom model training for vision, language, and tabular data, easy integration with other Google Cloud services.
  10. Lobe
    • URL: https://lobe.ai/
    • Overview: A user-friendly tool for creating custom machine learning models using visual interfaces.
    • Features: No coding required, intuitive drag-and-drop interface, easy model training and export.

These tools offer a variety of capabilities for different AI tasks, ranging from natural language processing and image recognition to custom model training and deployment.