Knowledge Cutoff

Definitions

1. The latest point in time up to which a model's training data is known or assumed to reflect information. Knowledge cutoff matters because models without retrieval or fresh data access may be outdated about later events.

   In plain English: The point in time after which a model may not know newer information.

   Example: "They included the model's knowledge cutoff in the help panel so users would understand why recent product launches were missing."

Related Terms

• Knowledge Boundary
• Knowledge Update
• Safety Training
• Semantic Memory
• Supervised
• Training Budget
• Training Config
• Training Cost
• Training Efficiency
• Training Infrastructure
• Training Loss
• Training Objective
• Training Pipeline
• Training Schedule
• Training Strategy
• Warm Start
• World Knowledge
• Open Knowledge