mlx-guard added to PyPI

Mlx-guard's addition to PyPI with external runtime safety supervision for MLX workloads on Apple Silicon marks a significant development in machine learning security. This means that website owners utilizing MLX workloads on Apple Silicon can now leverage mlx-guard to enhance the security and reliability of their machine learning operations. By providing external runtime safety supervision, mlx-guard can help prevent potential errors or security breaches that may arise from MLX workloads, thereby protecting website owners' data and ensuring uninterrupted service. To take advantage of this development, website owners can consider the following actionable tips: track AI bot traffic to identify potential security vulnerabilities, update their llms.txt files to include mlx-guard for enhanced protection, and monitor their MLX workloads on Apple Silicon to ensure seamless integration with mlx-guard.