Pruna AI, a European startup focused on AI model compression algorithms, recently announced the open-sourcing of its optimization framework to help developers more efficiently compress AI models. The framework developed by Pruna AI combines several efficiency methods, including caching, pruning, quantization, and distillation, aiming to improve AI model performance. It not only standardizes the saving and loading of compressed models but also evaluates the compressed models to determine whether their quality has significantly degraded, while simultaneously measuring performance.