There are several free AI tools and resources available that allow you to experiment with and implement artificial intelligence and machine learning in your projects. Here are some notable ones:
TensorFlow: It provides tools for building and deploying machine learning models, including deep learning models.
PyTorch: It’s known for its flexibility and dynamic computation graph.
Keras: Keras is a high-level neural networks API written in Python that runs on top of TensorFlow, Theano, or Microsoft Cognitive Toolkit (CNTK).
OpenAI GPT-3 Playground: OpenAI offers a GPT-3 Playground that allows you to experiment with their powerful natural language processing model. While access to the full GPT-3 API may not be free, you can try it with certain limitations in the playground.
IBM Watson Studio: IBM Watson Studio offers a free tier with various AI and machine learning tools for data exploration, model development, and deployment.
Microsoft Azure Machine Learning Studio: Microsoft Azure provides a free tier of Azure Machine Learning Studio, which allows you to build, train, and deploy machine learning models.
Google Cloud AI Platform: Google Cloud offers a free tier for AI Platform, which provides tools for building and deploying machine learning models on Google Cloud infrastructure.
Hugging Face Transformers: Hugging Face offers a wide range of pre-trained natural language processing models, including GPT-2 and BERT, along with easy-to-use Python libraries for working with these models.
Fast.ai: Fast.ai provides free courses and libraries for deep learning. Their courses are known for their practical approach to teaching machine learning and deep learning concepts.
DeepAI: DeepAI offers various free AI tools and models, including image recognition, text generation, and more.
Stanford NLP Group’s Tools: Stanford University provides free natural language processing tools and models, including the Stanford NLP library.
AllenNLP: AllenNLP is an open-source natural language processing library created by the Allen Institute for AI. It’s designed for research and production use.
AutoML Tools: Many cloud providers, including Google Cloud AutoML and Microsoft Azure AutoML, offer free tiers or trials for their automated machine learning tools.
Jupyter Notebooks: Jupyter notebooks are open-source web applications that allow you to create and share documents that contain live code, equations, visualizations, and narrative text. They are widely used in AI and data science.
Remember that while these tools and resources offer free tiers or open-source options, some may have limitations or offer additional premium features at a cost. It’s essential to review their respective pricing and usage policies to understand any restrictions.