Abstract
AbstractIn this commentary, we discuss ChatGPT and our perspectives on its utility to systematic reviews (SRs) through the appropriateness and applicability of its responses to SR related prompts. The advancement of artificial intelligence (AI)-assisted technologies leave many wondering about the current capabilities, limitations, and opportunities for integration AI into scientific endeavors. Large language models (LLM)—such as ChatGPT, designed by OpenAI—have recently gained widespread attention with their ability to respond to various prompts in a natural-sounding way. Systematic reviews (SRs) utilize secondary data and often require many months and substantial financial resources to complete, making them attractive grounds for developing AI-assistive technologies. On February 6, 2023, PICO Portal developers hosted a webinar to explore ChatGPT’s responses to tasks related to SR methodology. Our experience from exploring the responses of ChatGPT suggest that while ChatGPT and LLMs show some promise for aiding in SR-related tasks, the technology is in its infancy and needs much development for such applications. Furthermore, we advise that great caution should be taken by non-content experts in using these tools due to much of the output appearing, at a high level, to be valid, while much is erroneous and in need of active vetting.
Publisher
Springer Science and Business Media LLC
Reference20 articles.
1. OpenAI. ChatGPT: optimizing language models for dialogue. OpenAI. Published 2023. Accessed 6 Feb 2023. https://openai.com/blog/chatgpt/.
2. Ray S. A quick review of machine learning algorithms. In: Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019. IEEE; 2019:35–39.
3. Mahesh B. Machine learning algorithms - a review. Int J Sci Res. 2018;18(8):381–6. https://doi.org/10.21275/ART20203995.
4. Drenik G. Large language models will define artificial intelligence. Forbes. Published online 2023. https://www.forbes.com/sites/garydrenik/2023/01/11/large-language-models-will-define-artificial-intelligence/?sh=698337a9b60f.
5. Wiggers K. The emerging types of language models and why they matter. TechCrunch. Published online 2022. https://techcrunch.com/2022/04/28/the-emerging-types-of-language-models-and-why-they-matter/.
Cited by
80 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献