Bibliographic Research with ChatGPT may be Misleading: Comment
Abstract
We would like to comment on the paper entitled “Bibliographic Research with ChatGPT may be misleading: The Problem of Hallucination [1].” The paper emphasizes the advantages of utilizing advanced algorithms and large training sets to reduce bias and errors in chatbots. Relying on a single data source can result in restrictions and potential issues, making it critical to employ cutting-edge solutions for more accurate and dependable chatbot responses. Chatbots can be trained to deliver more thorough and unbiased information by using broad and extensive training data.
Keywords
Artificial IntelligenceChatgptMedical LiteratureBibliographic ResearchAi HallucinationClinical Decision SupportInformation AccuracyHashtags
#MedicalAI#ChatGPT#ClinicalInformatics#AIinMedicineThis article is published on an external journal. Click below to read the full text.
Read full article ↗How to cite: GlobalCastMD. Bibliographic Research with ChatGPT may be Misleading: Comment. GlobalCastMD Medical Library. 2023-10-06. https://library.globalcastmd.com/article/8343
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