GoMLX: ML in Go without Python

The post describes implementing machine learning models in Go without using Python, focusing on the GoMLX package. GoMLX leverages XLA and PJRT for core functionalities and provides a Go-friendly interface. The author showcases re-implementations of ML inference tasks, such as a CNN model for the CIFAR-10 dataset and a more complex model like Gemma2, highlighting similar results to Python-based implementations.