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What is a common misconception about LLMs?
What is a common misconception about LLMs?
- They predict the next word in a sequence.
- Their inner workings are fully understood by researchers. (correct)
- They are built on neural networks trained using step-by-step instructions.
- They require minimal text for training.
How does conventional software differ from ChatGPT in terms of development?
How does conventional software differ from ChatGPT in terms of development?
- Conventional software uses neural networks for training.
- Conventional software is trained on billions of words of ordinary language.
- Human programmers give explicit, step-by-step instructions to ChatGPT. (correct)
- ChatGPT is programmed to predict the next word.
Why is the inner workings of LLMs considered a mystery?
Why is the inner workings of LLMs considered a mystery?
- No human fully comprehends how they predict the next word. (correct)
- They are built using advanced mathematical equations.
- They were developed with minimal text data.
- Researchers have no interest in understanding them.
What sets LLMs apart from traditional software development processes?
What sets LLMs apart from traditional software development processes?
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What is the primary goal of the article mentioned in the text?
What is the primary goal of the article mentioned in the text?
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