Question: Can you recommend a community-driven platform for data science enthusiasts to work on real-world AI problems together?

If you're a data science nerd who wants to work on real-world AI problems with a community, AIcrowd is a great place to start. It attracts pros and enthusiasts to a variety of AI challenges, including procedural generation, image-based food recognition and natural language conversations. The site offers prizes and other incentives to those who participate, but it also publishes research papers based on the challenges, so you can learn from others and gain some insight into how to approach problems. And you can host your own challenges and check out the solutions from winners, so it's a good place to collaborate on problems.

Another good choice is Hugging Face, an open-source foundation for broad model collaboration and exploration of datasets. With 400,000 models, 150,000 applications and access to 100,000 public datasets, Hugging Face has a rich environment for AI work. The site supports community collaboration, with unlimited model hosting and dataset management, but also has more sophisticated abilities for enterprises. Pricing options range from free to professional and enterprise.

If you're working on an AI project with a team, TeamAI offers a workspace that integrates with several large language models, including GPT-4 and LLaMA. It has features like centralized AI workspaces, shared libraries of prompts, and custom plugins to create your own AI assistants. TeamAI is designed to automate workflows and to help people across an organization generate ideas, so it's good for no-code and more advanced AI work.

Last, check out Hex, a collaborative workspace for data teams to analyze, explore and visualize data. Hex has features like AI-boosted query generation, interactive reporting and integration with popular data warehouses. With enterprise-level security controls and support for advanced data techniques, Hex is a good place to collaborate on data science projects.