Open Source AI Engineering

AI engineering is the practice of designing, building, evaluating, and operating software that uses artificial intelligence. It turns models and data into dependable applications, addressing challenges such as selecting suitable models, preparing and retrieving information, connecting components, measuring quality, and managing latency, cost, and safety. The work spans experimentation and deployment, with attention to how systems behave in real-world use.

Open source offerings include libraries, orchestration frameworks, evaluation tools, data pipelines, model-serving systems, and learning resources. When choosing one, consider its maturity, license, maintenance activity, documentation, hardware and software requirements, and compatibility with your models and infrastructure. AI engineering tools are useful for developers, researchers, and teams building or operating AI-powered features, whether they are exploring ideas or supporting production systems.