I've been playing with chatGPT for the past couple of weeks. While it offers vast capabilities, it also highlights the limitations of the language model architecture, training datasets, and prompts. I've experimented with it, and you can see the entertaining conversation between the machine and me, which even cleared a Wharton MBA final exam!
If you haven't tried chatGPT yet, here's a quick overview(Thanks to chatGPT 😀) :
• ChatGPT is an AI-powered language model developed by OpenAI that generates human-like text in response to user prompts.
• It's built on the transformer architecture and fine-tuned on a large text corpus for coherent and contextually appropriate responses.
• It can be used for various NLP tasks, such as answering questions, generating text, and translating languages.
• The transformer architecture is favored for NLP because it can efficiently process sequential data. Models like GPT-3, BERT, and RoBERTa also use this architecture.
I need to explore and understand more about this technology. Exciting times!
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