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Why can't ...
Why can't an LLM answer questions about events that occurred after its training data cutoff?
Because the model's knowledge is frozen at training time — it has no mechanism to learn new information after deployment
Because recent events are filtered out to prevent misinformation
Because the model lacks access to the internet during inference
Because new events require a different tokeniser to process
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