  We present MixingBoard, a platform for quickly building demos with a focus on
knowledge grounded stylized text generation. We unify existing text generation
algorithms in a shared codebase and further adapt earlier algorithms for
constrained generation. To borrow advantages from different models, we
implement strategies for cross-model integration, from the token probability
level to the latent space level. An interface to external knowledge is provided
via a module that retrieves on-the-fly relevant knowledge from passages on the
web or any document collection. A user interface for local development, remote
webpage access, and a RESTful API are provided to make it simple for users to
build their own demos.
