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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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ChatGPT and large language models in academia: opportunities and challenges
Jesse G Meyer1, Ryan J Urbanowicz2, Patrick C N Martin2
1Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles California, USA. jesse.meyer@cshs.org.
Large language models (LLMs) offer significant academic potential but require careful ethical consideration. Researchers must learn to use these tools effectively, addressing bias and accuracy concerns for future academic applications.
Area of Science:
- Artificial Intelligence
- Natural Language Processing
- Academic Research
Background:
- The emergence of large language models (LLMs) in late 2022 marks a significant advancement in AI.
- LLM-based chatbots can generate human-like text, presenting both opportunities and challenges for academia.
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