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> can take hundreds of pages of text and distill it down to an executive summary of any length

This is the kind of breathless claim that no doubt fuels the skeptics.

None of the context windows are large enough for "hundreds of pages" nor "executive summaries of any length".

I did believe that it's possible to make LLMs do that kind of task with significant engineering effort to make it do summaries iteratively somehow, essentially "compressing" parts of the document recursively. But it's not something that you can just give to ChatGPT and have it work.

So yes, the hype is real, in both ways: there's lots of potential to explore over the next years, but also a lot of the claims you read today are not sufficiently hedged, which makes them look outlandish.




There are plenty of tools that make it possible, such as langchain and the rest


Sure, quite likely - but only with significant engineering effort. I said as much in my comment.

The point is that it's not a turnkey solution today, but some of the comments on here make it sound like it is. That's a form of hype.


You describe it in a way that sounds like hype is negative.

Hype can also just mean a lot of media attention.

This doesn't indicate anything good or bad.




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