The logic behind ChatGPT


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  • The original author of this article: Brother Gu’s younger brother
  • Author blog address: http://blog.csdn.net/lfdfhl

OpenAI and ChatGPT

OpenAI is an American artificial intelligence (AI) research laboratory comprised of the nonprofit OpenAI Incorporated and its for-profit subsidiary, the OpenAI Limited Partnership. The lab is dedicated to advancing and developing friendly artificial intelligence, and is working with Microsoft to use its cloud computing platform Azure to run OpenAI's systems. Founded in 2015, OpenAI was co-founded by entrepreneurs and scientists who are confident in the future potential of AI, and has the support of some well-known entrepreneurs such as Elon Musk. The purpose of OpenAI is to use advanced technology to explore the limits of artificial intelligence, continuously promote the development and application of artificial intelligence technology, and at the same time reduce the risks and negative effects of artificial intelligence as much as possible.

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ChatGPT (full name: Chat Generative Pre-trained Transformer), a chat robot program developed by OpenAI in the United States, was released on November 30, 2022. ChatGPT is a natural language processing tool driven by artificial intelligence technology. It can conduct conversations by understanding and learning human language, and can also interact according to the context of the chat. It can really chat and communicate like a human being, and can even write emails and video scripts. , copywriting, translation, code, writing papers and other tasks.
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Weaknesses of ChatGPT

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ChatGPT is not a panacea, and it has obvious weaknesses.

  1. Lack of language ability: The ChatGPT model mainly relies on syntax rather than semantics to understand text, so it cannot capture the true meaning of the text.

  2. Inability to understand context: The ChatGPT model cannot understand context, so it often ignores hints and metaphors in the text.

  3. Lack of Sentiment Analysis Capabilities: The ChatGPT model cannot understand human emotions, so it cannot process user emotions based on text content and context.

  4. Unable to learn by itself: The ChatGPT model cannot learn by itself, so it cannot learn and improve from its own experience.

  5. Affected by dataset bias: The ChatGPT model is affected by dataset bias, so it may give inaccurate answers based on the text in the dataset.

  6. Inability to reason: The ChatGPT model cannot reason based on existing knowledge, so it cannot infer conclusions on its own.

  7. Limited language processing ability: The ChatGPT model has limited language processing ability, it can only handle a certain level of text, but not more complex text.

  8. Unable to recognize context: The ChatGPT model cannot recognize text based on context, so it cannot understand hints and metaphors in the text.

  9. Cannot handle complex dialogues: The ChatGPT model cannot handle complex dialogues, it can only handle simple question-and-answer dialogues.

  10. Inability to handle computer knowledge: The ChatGPT model cannot handle computer knowledge, so it cannot answer questions about computer knowledge.

In a nutshell, ChatGPT's answers are not fact-based, but language model-based. Facts are not important to it, what is important to it is that he can understand your question and answer your question according to a certain routine. So, sometimes you can see ChatGPT talking nonsense in a serious manner.

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Origin blog.csdn.net/lfdfhl/article/details/130140020