Would AI components in UiPath will replace the Document Understanding module?

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I need some feedback on the above statement

While checking the capability of large language models - I could see that the capability is good enough to extract required values from structured and unstructured documents

With above details - What is the future of document understanding module where we need to train the documents by labelling

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Hi @sharazkm32

Even I have the same thought. The GenAI Activities were able to extract unstructured and structured data from PDF and Images much better.

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@sharazkm32,

In my opinion, LLM is more of general purpose. It means, it can do everything possible with that LLM model.

Where as Document understanding uses Specialized AI which is targeted to the specific problem, Understanding various format and types of documents.

Document understanding modules provides you specialized tools to automated documents whereas LLM models are large scope which can be used for document automation but will require relatively more efforts than DU.

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With Agent Builder around the corner, wouldn’t it be very overpowering and surpass the abilities of DU?

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@V_Roboto_V,

That would be good to expect but as of now Agents also will be using existing DU bots as tools to complete the assigned tasks.

Though this is a good use case to do POC if Agents can replace DU. :v:

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I tried Auto Pilot for everyone, and it could extract most of the fields without any training.

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@sharazkm32

My take

  1. If you see modern DU the base model is an docpath LLM…which is specifically designed for DU…
  2. So going forward even models from AI center are being deprecated as announced and replacement are DU , Gen AI and Comm path all using different LLM specialized for tasks so yes LLM is being used in all
  3. its not the DU would be replaced but the backend models used will definitely be better…so even in DU modern now there is predictive labellign as well which helps in labelling which automatically identfies the labels as well
  4. Yes autopilot is doing well too…but for specific large documents a specialized LLM can perform better as we know about the halicinations from LLM over time

cheers

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