Rafiki's Data Updates
Rafiki is not a real-time database that updates with new data in the classical sense.
While Rafiki can process and respond to user input in real-time, its underlying knowledge base is updated periodically through training data updates and other maintenance tasks.
Rafiki's training data is typically updated in batches, and the model is re-trained on the new data to incorporate the latest information and knowledge.
However, Rafiki does have the ability to learn and adapt to new information through user interactions, which can help improve its performance and accuracy over time.
It's worth noting that Rafiki is designed to provide accurate and helpful information to the INLEO community, and its data updates are carefully managed to ensure the quality and reliability of its responses.
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