OpenAI: The organization behind the development of the GPT-3 model. Their website often features research papers, blog posts, and updates on their latest projects.
TensorFlow: An open-source machine learning framework developed by Google. The TensorFlow website offers documentation, tutorials, and resources for developers and researchers working on machine learning and AI.
PyTorch: Another popular open-source machine learning framework, developed by Facebook. PyTorch's website provides documentation, tutorials, and resources for deep learning enthusiasts.
ArXiv.org: A preprint repository that hosts a vast collection of research papers in various fields, including artificial intelligence. It's an excellent resource for staying up-to-date on the latest research.
MIT Technology Review - AI section: MIT Technology Review covers the latest advancements and ethical considerations in AI. Their AI section is a good source for news and in-depth articles.
AI Weekly Newsletter by Import AI: A weekly newsletter curated by Jack Clark that provides summaries and links to the most important developments in AI. It's a great way to stay informed about the latest research and news.
Kaggle: A platform for data science and machine learning competitions. Kaggle also offers datasets, kernels (code notebooks), and forums where data scientists and AI enthusiasts can collaborate and learn.
Towards Data Science on Medium: A popular Medium publication that covers a wide range of topics in data science, machine learning, and AI. It features articles, tutorials, and insights from experts in the field.
