"Hallucinations are outputs produced by LLMs that are factually incorrect, nonsensical, or completely unrelated to the input task. These outputs present a critical obstacle to the effective and safe deployment of LLMs in public-facing applications due to their potential to generate inaccurate or misleading information."
"As two recent studies point out, that proclivity underscores prior warnings not to rely on AI advice for anything that really matters. This could lead to dangerous outcomes, especially when developers trust AI-generated package suggestions blindly."
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