A large language model deployed as a customer service agent begins providing factually incorrect information about product warranties with high confidence. Which inherent LLM risk does this BEST illustrate?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because hallucination is an inherent LLM risk where the model generates confident, coherent text that is factually incorrect, without indicating uncertainty. The high confidence aspect is a key hallucination indicator.
Full explanation below image
Full Explanation
B is correct because hallucination is an inherent LLM risk where the model generates confident, coherent text that is factually incorrect, without indicating uncertainty. The high confidence aspect is a key hallucination indicator. Prompt injection (A) requires attacker-manipulated input. Model drift/knowledge cutoff (C) would cause the model to have no information rather than confidently incorrect information. Data poisoning (D) is plausible but is a specific cause; hallucination can occur even with correct training data.