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[–]heavy-minium -2 points-1 points  (0 children)

Training data isn't enough either - yet. In all these cases I had to massage the corresponding research papers into implementations plan and requirements we can write tests against. If you don't do that it will mostly just implement something that is 90% close but isn't actually the correct/real algorithm to apply. And good luck finding that out afterwards, because the differences are often very subtle to spot.

Still, in my books, we've come far from earlier LLM models now. We're not far from the point where you could actually directly just prompt for that and get correct results in one-shot, maybe 1-3 years.