Knowledge Distillation
Language Models and Natural Language Processing
The date until which an AI model has been trained on data marking the limit of its current knowledge.
Detailed Explanation
Knowledge Cutoff refers to the specific date up to which an AI language model has been trained on data. It marks the boundary of the model's awareness, meaning the model does not have information on events or developments occurring after that date. This is essential for understanding the model's limitations and ensuring accurate responses within its temporal knowledge scope.
Use Cases
- •Ensuring users understand that responses are limited to information available before the knowledge cutoff date.
Related Terms
Other terms in the Language Models and Natural Language Processing category