What is Knowledge Cut-Off?
The date or point in time after which an AI model does not have knowledge of new events or data.
More about Knowledge Cut-Off:
Knowledge Cut-Off refers to the point in time after which an AI model has not been trained on new data. This limitation is inherent to models like GPT or BERT, which rely on static training datasets. As a result, events or information occurring after the cut-off date will not be known to the model.
To address this, retrieval systems like retrieval-augmented generation (RAG) and retrieval fusion can be used to integrate real-time information into AI responses.
Frequently Asked Questions
How does knowledge cut-off impact AI systems?
It limits the model’s ability to provide accurate responses about events or data occurring after the cut-off date.
How can knowledge cut-off limitations be mitigated?
By integrating real-time knowledge retrieval systems or using external APIs for updated information.
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