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

Custom model training and fine-tuning for GPT-3.5 Turbo
Today OpenAI announced that businesses and developers can now fine-tune GPT-3.5 Turbo using their own data. Find out how you can create a custom tuned model trained on your own data.

Herman Schutte
Founder

How SiteSpeakAI's YouTube Summarizer Can Transform Your Content Creation Strategy
Discover how SiteSpeakAI's YouTube Summarizer can revolutionize your content strategy. Learn to transform YouTube videos into SEO-optimized articles for your blog or website in under a minute. Boost engagement and search rankings effortlessly. Explore now.

Herman Schutte
Founder