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This can be seen in the way ChatGPT discusses certain topics or the language...

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發表於 2024-1-30 11:59:41 | 顯示全部樓層 |閱讀模式
n biases. Learning over time . How well ChatGPT learns and improves over time can also affect the biases in its responses. Input or training data biases are significant limitations of ChatGPT, potentially leading to biased results or responses.. Such biases, a common problem in most AI tools, are essential to recognize and address in order to prevent stereotypes from taking root and spreading, ensuring that the technology remains fair and reliable. Answers too long ChatGPT often gives detailed answers thanks to its comprehensive tutorial, trying to be as
helpful as possible. However, it has some limitations: Long answers. ChatGPT tends to give extended answers, trying to cover all aspects of the question, which can make the answer longer than necessary. Repetition . In an  Phone Number List attempt to be thorough, ChatGPT may repeat some points, making the answer redundant. Lack of simplicity. Sometimes a simple “yes” or “no” is enough, but ChatGPT can provide a more complex answer due to its design. Understanding these limitations of ChatGPT helps you use it more effectively and manage the information it provides. student-reads-what-are-the-limitations-of-chatgpt Find out where ChatGPT'




s information comes from To understand how ChatGPT works and develops knowledge, it is necessary to take a closer look at its training process and functionality. Think of ChatGPT as a super smart friend who has learned a lot of information from places like books and websites, but only until 2021. After that point, its knowledge remains frozen in time, unable to perceive new events or developments. As you familiarize yourself with ChatGPT's features, here are some important aspects and limitations to consider. ChatGPT's knowledge is updated beyond 2021, ensuring that the information, while extensive, is not always the most up-to-date. This is a significant limitation of ChatGPT. ChatGPT creates responses using previously acquired information, rather than from a real-time, updated database. This is a special part of

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