Context Stuffing — AI Glossary

Context stuffing is the technique of loading relevant information — documents, data, or examples — directly into an AI model's prompt to give it the knowledge needed to answer accurately. Instead of relying on the model's training data alone, you "stuff" the context window with specific content the model should reference.