An AI Workbench is a development environment that brings together the tools, data, computing resources, and workflows needed to build, test, and manage artificial intelligence models. It can provide access to datasets, notebooks, model libraries, experiment tracking, training environments, evaluation tools, and deployment capabilities within a unified workspace.
AI workbenches help developers and data scientists move from experimentation to production more efficiently. Depending on the platform, they may support tasks such as preparing training data, fine-tuning models, comparing experiments, testing prompts, evaluating model performance, and deploying AI applications.
