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What can ChatGPT NOT do?
ChatGPT is a transformer-based language model that uses deep neural networks to process & understands the text. Now, due to this architecture, ChatGPT can generate more fluent and natural-sounding text than any other models have been able to accomplish previously. Additionally, the ChatGPT model has been trained on a very wide range of content on the internet we could even say that ChatGPT has been trained using just about all the content available on the internet. Due to this, ChatGPT is better equipped to understand and respond to various topics, be it everyday conversations or technical discussions.
ChatGPT also does not understand anything it says, and it also kinda doesn’t care. A lot of scholars and academics like Gebru have been warning us about the dangers and limitations of generative AI models, but the sheer excitement that the release and subsequent functioning of ChatGPT have generated has drowned out all the noise and warnings. In fact, Gebru had been fired from Google, it is said after she wrote her seminal paper.
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By CognixiaChatGPT is a transformer-based language model that uses deep neural networks to process & understands the text. Now, due to this architecture, ChatGPT can generate more fluent and natural-sounding text than any other models have been able to accomplish previously. Additionally, the ChatGPT model has been trained on a very wide range of content on the internet we could even say that ChatGPT has been trained using just about all the content available on the internet. Due to this, ChatGPT is better equipped to understand and respond to various topics, be it everyday conversations or technical discussions.
ChatGPT also does not understand anything it says, and it also kinda doesn’t care. A lot of scholars and academics like Gebru have been warning us about the dangers and limitations of generative AI models, but the sheer excitement that the release and subsequent functioning of ChatGPT have generated has drowned out all the noise and warnings. In fact, Gebru had been fired from Google, it is said after she wrote her seminal paper.