EdgeBench: Unveiling scaling laws of AI learning from real-world environments

EdgeBench is a new project that aims to unveil the scaling laws of AI learning from real-world environments. This initiative is designed to help researchers and developers understand how AI models can be optimized and scaled effectively in practical applications. For more details, you can check out the project on GitHub: EdgeBench.