Token Window
A token window is the maximum amount of text tokens a model can process at once.
Category
AI Runtime Basics
These words describe model metadata, token limits, persisted embeddings, and snapshotting work.
How to recognize this theme
Terms you see when an app runs a model and stores state.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
Educational context
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Embedding Store
An embedding store keeps vector representations used for retrieval or similarity search.
Model Card
A model card summarizes a model's purpose, training data, limits, and known risks.
Checkpointing
Checkpointing saves model or app state so training or computation can resume later.