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Comment by antonvs

9 months ago

It's a tool and like all tools, it's sensitive to how you use it, and it's better for some purposes than others.

Someone who lacks experience, skill, training, or even the ability to evaluate results may try to use a tool and blame the tool when it doesn't give good results.

That said, the hype around LLMs certainly overstates their capabilities.

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