Scholarly Resources
Find some research papers below on the topic of Large Language Models (LLMs):
- ChatGPT for good? On opportunities and challenges of large language models for education by Enkelejda Kasneci, Kathrin Sessler, Maria Bannert, Daryna Dementieva, Urs Gasser, Georg Groh, Stephan Günnemann, Stephan Krusche, Tilman Michaeli, Claudia Nerdel, Jürgen Pfeffer, Oleksandra Poquet, and Tina Seidel of Technical University of Munich, Frank Fischer, Eyke Hüllermeier, Stefan Küchemann, Gitta Kutyniok, Michael Sailer, Albrecht Schmidt, Matthias Stadler, Jochen Weller, and Jochen Kuhn of Ludwig-Maximilians-Universität Műnchen, and Gjergji Kasneci of University of Tűbingen
- Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions by Alaa Abd-alrazaq, Rawan AlSaad, Arfan Ahmed, Sarah Aziz, Padraig Mark Healy, Syed Latifi, and Javaid Sheikh of Weill Cornell Medicine-Qatar, Dari Alhuwail of Kuwait University, and Rafat Damseh of United Arab Emirates University, and Sadam Alabed Alrazak of University of Toronto
- ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns by Malik Sallam of The University of Jordan
- Exploring the use of large language models (LLMs) in chemical engineering education: Building core course problem models with Chat-GPT by Meng-Lin Tsai, Chong Wei Ong, and Cheng-Liang Chen of National Taiwan University
- ChatGPT for Education and Research: Opportunities, Threats, and Strategies by Mostafizer Rahman and Yutaka Watanobe of Dhaka University of Engineering & Technology
- Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review by Lixiang Yan, Lele Sha, Linxuan Zhao, Yuheng Li, Roberto Martinez-Maldonado, Guanliang Chen, Xinyu Li, Yueqiao Jin, and Dragan Gašević of Monash University
- Generative Artificial Intelligence and the Education Sector by Norita Ahmad of American University of Sharjah, San Murugesan of BRITE Professional Services, and Nir Kshetri of University of North Carolina at Greensboro
- ChatGPT and large language models in academia: opportunities and challenges by Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas Tatonetti, Kyoung Jae Won, Graciela Gonzalez-Hernandez, and Jason H. Moore of Cedars Sinai Medical Center, and Karen O’Connor of University of Pennsylvania
- Language Models are Unsupervised Multitask Learners by Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever of OpenAI San Francisco
- Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions by John Joon Young Chung of University of Michigan, Ece Kamar, and Saleema Amershi of Microsoft
For additional papers, please see:
- Foundational must read GPT/LLM papers from OpenAI Community
- OpenAI research papers
General Media
These sources would generally not be suitable for use in your assignments, but they may provide a useful general overview of the topic if you find yourself struggling with the more scholarly resources.
- What is a large language model (LLM)? By Elastic
- Large Language Models (LLMs) by Tech Target
- Real-World Use Cases for Large Language Models (LLMs) by Cell Strat
- Fine-Tuned LLMs for Sentiment Prediction — How to Analyze and Evaluate by Pranay Dave of experiencedatascience.com
- Open-Source Text Generation & LLM Ecosystem at Hugging Face by Merve Noyan on Hugging Face
- Large Language Models and Search by Connor Shorten and Erika Cardenas on Weaviate
- Large Language Models and Education by Maastricht University
- The Role of Language Models in Education: Transforming Learning with AI by Brindha Jeyaraman of Google
- ChatGPT For Schools? Merlyn Mind Launches Education-Specific LLM by Johan Moreno on Forbes
- A Leap Forward in Education with Language Models and AI by Amin on Medium
- Large Language Model on Wikipedia
- Benefits of LLMs in Education from University of Illinois Urbana-Champaign