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LLM Failure Modes·Artificial Intelligence
context overflow

context overflow

/ˈkɒntekst ˌoʊvərfloʊ/

⚠️ LLM Failure Modes

exceeding the model's context window, causing earlier content to be lost

context overflow in a sentence

“Context overflow made the model forget the original task instructions.”

Origin of context overflow

Latin contextus + Old English oferflowan to flow over

Related Words

semantic drift

subtle shifts in meaning of key terms through a conversation

overconfidence

expressing certainty beyond what the model's actual knowledge warrants

hallucination

generating plausible-sounding but factually incorrect or fabricated information

sycophancy

over-agreeing with users and telling them what they want to hear rather than the truth

confabulation

filling gaps in knowledge with plausible but invented details

instruction drift

gradually deviating from initial instructions over long conversations

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