LLMs solving problems OCR+NLP couldn't
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LLMs solving problems OCR+NLP couldn't
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Re: LLMs solving problems OCR+NLP couldn't
#2This is a nothing burger blog post that likely made it to the front page because it mentions "LLM" in the title. Worse yet, it's an ad actually.
Re: LLMs solving problems OCR+NLP couldn't
#3This is a nothing burger blog post that likely made it to the front page because it mentions "LLM" in the title. Worse yet, it's an ad actually.
You beat me to this comment, but you are absolutely correct.
Re: LLMs solving problems OCR+NLP couldn't
#4"I still believe that processing documents will be a solved problem in a couple years time."
Current 80/20-rule-ignoring AI dogma in a nutshell.
Re: LLMs solving problems OCR+NLP couldn't
#5Are LLMs not NLP? They process natural language, no?
And I assume the multimodal tools still use OCR for text extraction, or am I missing something?
My understanding is that they're still doing OCR+NLP, just differently than traditional approaches.
Re: LLMs solving problems OCR+NLP couldn't
#6This is a nothing burger blog post that likely made it to the front page because it mentions "LLM" in the title. Worse yet, it's an ad actually.
The first thing I do on HN posts with lots of upvotes and few comments is scroll to the bottom and check if the closing paragraph has a link to some saas product. If it does, I close the tab.
Re: LLMs solving problems OCR+NLP couldn't
#7OCR doesn't have prompt injection problem
Re: LLMs solving problems OCR+NLP couldn't
#8This is a nothing burger blog post that likely made it to the front page because it mentions "LLM" in the title. Worse yet, it's an ad actually.
The first thing I do on HN posts with lots of upvotes and few comments is scroll to the bottom and check if the closing paragraph has a link to some saas product. If it does, I close the tab.
Ironically, this check would be a pretty good use for a LLM.
Re: LLMs solving problems OCR+NLP couldn't
#9I don't mind people doing blog-posts advertising they're own companies - but I feel like i'd like a little bit more substance within this topic. It is interesting in a way, I find I turn to things like gemini 2.5 within simple OCR/NLP and now more substantial image editing than specific models.
I think that's more because of the current state of the industry, a lot of those models are either internal, paywall locked or annoying to use. I don't want to waste effort in trying to sign up for a 4 week trail of X service to perform a one off task.
Unfortunately, this post didn't really elucidate or go into an interesting topic within this space.
I'm not expecting a research paper, but it would be great to get some stats, graphs, examples and meat on the bones. I opened this up expecting some actual examples of problems within OCR & NLP and showing how X multi-modal model solves them.
Re: LLMs solving problems OCR+NLP couldn't
#10OCR doesn't have prompt injection problem
It's only prompt injection if it comes from state sponsored hackers, otherwise it's just surprise prompt augmentation.