Not at all. The only similarity is that LLMs work with text, and the document formats can also represent text.

Each format (E.g pdf, json, excel) has a defined standard, so all you have to do to change between each other is to map one format’s fields to the others. You don’t need (and won’t get good results) from having an LLM produce the new format from scratch.

What he’s asking is the equivalent of asking if there’s an LLM made specifically for solving arithmetic problems. Why would you try to solve addition using an LLM?

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Streamers are 2010s, not 90s

I get were you’re coming from, but on the other hand most women put no effort to their profiles whatsoever. In my experience with Tinder 90-95% of profiles don’t even have a bio, so how am I supposed to filter people based on some pictures and three tagged hobbies (which are usually bland like movies, travel, nights out)?

It can if you don’t do a train-test split.

But even if you consider the training set only, having zero loss is definitely a bad sign.

grep file ...

Ian also happens to be dead