> Nowadays there's probably a solution based on LLMs, but I don't trust them with this kind of data
In practice, the flow from my perspective looks like LLM parser -> normalizer -> validator. So you only save one step (parser), and given the unique stochastic nature of the LLM output, the normalizer and validator can be trickier to write than one used for an old-fashioned rules-based parser. But each situation is different, or YMMV.
In practice, the flow from my perspective looks like LLM parser -> normalizer -> validator. So you only save one step (parser), and given the unique stochastic nature of the LLM output, the normalizer and validator can be trickier to write than one used for an old-fashioned rules-based parser. But each situation is different, or YMMV.