domain-ml

What it does: This skill gives design guidance for building machine learning and artificial intelligence software using the Rust programming language, like a program that runs a trained model to make predictions. It covers handling large amounts of data efficiently without wasting memory, using graphics cards (GPUs) for speed, using standard file formats so models trained in other tools can be used in Rust, and processing many predictions together in batches for efficiency. It includes example code for loading a model once and reusing it, and for processing predictions in batches. When to use it: - Building software that runs a trained AI or machine learning model - Choosing the right tools for tasks like image recognition or data prediction in Rust - Making prediction code faster or more memory-efficient - Deciding between different Rust machine learning toolkits depending on the situation This is background guidance automatically used while building machine learning software in Rust.