Limitations of Large Language Models

This chapter addresses the challenges and ethical concerns surrounding large language models in AI, such as the risk of disseminating misinformation and inaccuracies. It explores the intricate balance between data volume and quality in training these models, particularly focusing on the GPT-3 system. The discussion highlights the implications of AI-generated content on credibility in research, emphasizing potential pitfalls that can undermine scientific integrity.