What does “Shadow Deployment” mean?

An inference acceleration method where a small draft model proposes tokens that a larger model verifies in parallel.

A language-agnostic tokenizer that learns subword units directly from raw text without pre-splitting on whitespace.

A system that can make decisions and act with limited or no direct human control in real time.

Training approaches that let a model keep learning from new data without forgetting prior knowledge.

Predicting the user's purpose from a text query to route it correctly.

A model pipeline that predicts user preferences for ranking content or products.