
Guidance for composing prompts and constrained generation
Interleave literal text, generated spans and output constraints in a program.
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Interleave literal text, generated spans and output constraints in a program.

Apply structured-output constraints inside a model inference engine.

Generate text that conforms to a type, schema or pattern through a supported model backend.

Deploy small machine-learning models into mobile and embedded applications.

Build a graph that combines preprocessing, inference and postprocessing across model backends.

Build language model runtimes for different device targets using compilation.
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