Large language models and the perils of their hallucinations
- PMID: 36945051
- PMCID: PMC10032023
- DOI: 10.1186/s13054-023-04393-x
Large language models and the perils of their hallucinations
Conflict of interest statement
JF is a Board Member of Machine Learning for Healthcare and a founder of Rubicon Health LLC. The remaining authors do not have any potential competing interests.
Comment in
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Balancing caution and ınnovation: exploring the potential of large language models in critical decision-making.Crit Care. 2023 May 4;27(1):172. doi: 10.1186/s13054-023-04447-0. Crit Care. 2023. PMID: 37143120 Free PMC article. No abstract available.
Comment on
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Can artificial intelligence help for scientific writing?Crit Care. 2023 Feb 25;27(1):75. doi: 10.1186/s13054-023-04380-2. Crit Care. 2023. PMID: 36841840 Free PMC article. Review.
References
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- OpenAI. ChatGPT: Optimizing Language Models for Dialogue. 2022. https://web.archive.org/web/20230225211409/https://openai.com/blog/chatgpt/. Accessed on 26 Feb 2023.
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- Zamfirescu-Pereira J, Wong R, Hartmann B, Yang Q, editors. Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In: Proceedings of the 2023 CHI conference on human factors in computing systems (CHI ’23); 2023; Hamburg, Germany. 10.1145/3544548.3581388. https://www.researchgate.net/publication/368577310_Why_Johnny_Can't_Prom.... Accessed on 02/26/2023.
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