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.
From the blog

IT Help Desk Automation with SiteSpeakAI
In a world that’s constantly evolving, having a robust IT help desk is no longer a choice but a necessity for businesses. But, how can you ensure that your help desk is able to respond to queries swiftly and accurately? The answer lies in automation, and one tool that is making waves in this domain is SiteSpeakAI.

Herman Schutte
Founder

Create a free GPT chatbot with SiteSpeakAI
Find out how you can easily create a fully customizable GPT-3 (or GPT-4) customer support chatbot for your business for free.

Herman Schutte
Founder