I've been using ChatGPT as my go-to language model, but I've noticed it has some annoying quirks. For example, it often agrees with me too readily, leaves out important information, sugarcoats things, and usually comes across as overly confident—even when it's not. I started thinking it might be helpful to cross-check my prompts and ChatGPT's responses with another model like Claude to see if it catches any mistakes or just adds to the confusion. Has anyone tried this method? Does it really help in identifying errors, and does it work better for certain subjects or tasks? Or am I just overthinking it?
4 Answers
I've done this before, and I've found it can be really useful, especially if the second model has web access to validate the information. Just make sure to tweak your prompts a bit for the best results! A similar model might work too, as long as it can verify the info you're working with.
It's hit or miss. The model you use might contradict previous responses, but there's a risk of mixing up contexts when you ask both models about the same question. They tend to infer based on what you're asking and may misunderstand the original question due to added complexity. It could be worth it if you're looking for varied insights, especially if you use models from different companies.
Using multiple models is a solid approach! I think of it like getting second opinions from top doctors. It's not always perfect, but it definitely helps catch some missed details!
I definitely recommend running questions about health and finances through multiple AIs. They can give you different perspectives, which is super important in those areas!
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