A machine learning framework for Node.js, called node-mlx, is introduced, which offers support for various platforms and includes features for training models, handling embeddings, and implementing large language models. It provides JavaScript APIs that mirror Python's MLX, with some limitations and differences due to JavaScript's characteristics. The project is still in development, providing opportunities for contributions and sponsorship.

The article introduces Brahma-Firelight, a Rust-powered, memory-safe web framework for Node.js that utilizes Tokio and Hyper for high performance. It features an Express-like API for easy integration and showcases impressive performance benchmarks, capable of sustaining over 130,000 requests per second with low latency. The article also provides a quick start guide for setting up and using the framework.