AI Language Models’ Limitations and Future Works in Data Annotation

The article discusses the potential of ChatGPT, a generative AI model, to revolutionize scientific research by accelerating literature reviews, improving findings interpretation, and enhancing readability. ChatGPT can generate responses that closely resemble human-generated content, making it a valuable tool for researchers. The model can also produce responses based on prompts written in natural language, allowing users to guide its responses with ease.
The article highlights the advantages of using ChatGPT in scientific research, including its ability to improve the quality of research by assisting in writing, accelerating the literature review process, and preparing results more efficiently. Additionally, ChatGPT can help researchers investigate the impact of vocabulary and lexical richness on scientific communication.
To demystify complex concepts related to ChatGPT, the article uses analogies such as comparing its vocabulary and lexical richness to human-generated content. The author also provides examples of how ChatGPT can be used in various research settings, such as de-identifying medical texts and generating long-form analogies.
Overall, the article presents a balanced view of ChatGPT’s capabilities and limitations, highlighting its potential to transform scientific research while acknowledging the need for further research to fully understand its capabilities. The author concludes that ChatGPT is a significant tool that can support scientists in their work, but it should be used with caution and critical thinking to ensure reliable results.