人工智能,自然学习处理和大型语言模型在高等教育和研究中的新兴作用
Tariq Alqahtani1, Hisham A Badreldin2, Mohammed Alrashed2
1Department of Pharmaceutical Sciences, College of Pharmacy, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
人工智能 (AI),包括自然语言处理 (NLP) 和大型语言模型 (LLM),为教育和研究提供了变革性的潜力. 这篇评论探讨了人工智能.
科学领域:
- 人工智能的人工智能
- 自然语言处理自然语言处理.
- 大型语言模型
背景情况:
- 人工智能,NLP和LLM正在迅速发展并影响各种领域.
- 这些技术为教育和研究实践提供了新的可能性.
研究的目的:
- 为AI,NLP和LLMs提供深入的介绍.
- 讨论这些技术在教育和研究中的潜在影响,优势,挑战和应用.
主要方法:
- 审查当前的AI,NLP和LLM能力.
- 在学术和研究环境中探索创新应用.
主要成果:
- 研究中的AI应用包括文本生成,数据分析,文献评论和同行评审.
- 教育中的人工智能包括个性化学习,评估,反和心理健康支持.
结论:
- 人工智能具有提高教育和研究成果的巨大潜力.
- 解决道德问题和偏见对于负责任的AI实施至关重要.
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