International Journal of Clinical and Medical Education Research(IJCMER)
ISSN: 2832-7705 | DOI: 10.33140/IJCMER
Impact Factor: 1.76
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Evaluating Errors and Improving Performance of ChatGPT
Abstract
Som Biswas
ChatGPT, a state-of-the-art language model developed by OpenAI, has revolutionized the field of natural language processing and human-computer interaction. However, despite its impressive capabilities, ChatGPT is not immune to errors and limitations. This research paper aims to identify common errors made by ChatGPT and propose potential methods to improve its performance. By analyzing the underlying causes of these errors and exploring strategies to mitigate them, we can enhance the overall user experience and reliability of ChatGPT.