Learn what knowledge cut-off means in AI, why ChatGPT and other LLMs have training data limits, and how to work around these limitations.
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.
