Page 47 - Zenith 2023-웹용

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whole contexts of long conversations is limited. The
second is bias and sensitive subjects. Chat GPT
reflect biases learned from training data. For example,
responses to topics related to the race, gender, religion,
etc. may be biased. Finally, it is very difficult to ensure
the accuracy of information, because a model created
through machine learning, which generates a response
based on given data. This can cause the model to learn
incorrect information or give inaccurate answers. Users should always carefully review the model's
response and verify the accuracy of the information with additional checks.

Chat GPT is drawing attention as an innovative model in the field of natural language
understanding and generation. However, there are still areas that need to be developed,
and proper use with ethical considerations is important. Through Chat GPT, we can get new
experiences and gain knowledge through conversations with artificial intelligence.

Yu Hye-yeon
(English-Japanese dept. 2nd grade)
hyeyeon0404@naver.com