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katet

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katet
·4 miesiące temu·discuss
That's true and fair, and re-reading OP it doesn't address hallucinations exactly either. I was more thinking of it as a toy example for non-tech folk (grandma?) to see that what and how you ask LLMs matters in how the sycophancy will come out in the response. There may be better ways to demo that though :shrug:
katet
·4 miesiące temu·discuss
Not that I've had to deal with this specifically, but I have noticed how the input phrasing in my prompts pushes the LLM in different directions. I've just tried a quick test with `duck.ai` on gpt 4o-mini with:

A: Why is drinking coffee every day so good for you?

B: Why is drinking coffee every day so bad for you?

Question A responds that it has "several health benefits", antioxidants, liver health, reduced risk of diabetes and Parkinson's.

Question B responds that it may lead to sleep disruption, digestive issues, risk of osteoporosis.

Same question. One word difference. Two different directions.

This makes me take everything with a pinch of salt when I ask "Would Library A be a good fit for Problem X" - which is obviously a bit leading; I don't even trust what I hope are more neutral inputs like "How does Library A apply to Problem Space X", for example.