Model calibration ensures that the probabilities predicted by a machine learning model are accurate and reliable, which is crucial for applications like sports betting and medical diagnostics.
Multi-agent AI systems use coordination and communication to solve complex problems, but the way they interact can make or break their effectiveness. Here’s how they work and why they matter.