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u/Auwardamn

r/Paperlessngx r/OMSA
▲ 1 r/OMSA

MGT 8823 LSS Green Belt Certificates

Has anyone that was enrolled in MGT 8823 gotten their LSS Green Belt Certificate yet?

There's a single post on Ed Discussion asking about it, to which they said they would be available "in the next week" two weeks ago.

How are they delivered? The course is showing as an archived course in Canvas now. I got a an 88 total on the project, according to canvas, and an A in the class, submitted to OSCAR, so I'm pretty sure I met the requirements.

Has anyone received their certificate?

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u/Auwardamn — 2 days ago
▲ 0 r/OMSA

Thoughts on Bayes with the Practicum?

I originally was planning on taking one class at a time through to the end, and was going to take DMSL (7406) to end the program with the practicum, however I've heard there's a ton of overlap with CDA. Bayesian statistics intrigues me, but I've heard bad things about the class being hard/pointless/outdated, and that it should be taken alone.

I've rearranged my schedule as we are now expecting an addition to the family in April/May timeframe, and I'm probably going to need next summer off, and I've moved 6203 to be taken with 6242 so I have the pre-req for the practicum taken care of.

For anyone who has taken Bayes in the past couple of years, have they changed anything? Chatting with Google AI it seems like it uses WinBUGS which is apparently outdated, but then some reviews mention using PyMC which apparently is far more widely used in industry. Is it both? I'm interested in it's use in AI/ML and finance applications, and even if the class half teaches it, it carves out time for me to do my own self learning, with a credential on my resume.

Should I stick with my original plan and just do DMSL+Prac in Fall 27 to finish out the program, or is Bayes+Prac going to be doable with a 3-4 month old newborn at home while also working full time? I guess I could always take Bayes after graduating, but I think the chances of that actually happening are going to be very slim to none.

For reference, I've had all As up until this point, and have an engineering undergrad, so math isn't too hard for me, but the only graduate level/calculus-based statistics exposure I've ever had was Sim this Spring. Also, I opted out of 8803 so one of the MGT electives fills that requirement.

https://preview.redd.it/hzx6cyaq9yih1.png?width=1034&format=png&auto=webp&s=f6a3d4345b73d9cee27322a4526af560e7b7f18e

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u/Auwardamn — 8 days ago
▲ 17 r/Paperlessngx

Can't get any competent LLM model running without crashing on OCR

I've had a paperless-ngx instance up and running on my Ubuntu Server 24.04.4 LTS for a while, but it's difficult for me to put effort into using, because in my experience, it doesn't necessarily work as advertised without some serious tinkering with the settings. Scanned in PDFs are always flipping around/upside down, despite trying to play around with the autorotate settings. The ML suggestions are ok, but tedious to go in and apply. Just generally not as much of a hands-off experience that I would like.

Then I came across this guide/video and thought, it could definitely be useful, as when he switches over to the AI OCR, it seems to classify/textualize the document content flawlessly, to then have the LLM follow up and apply the correct tags:

https://technotim.com/posts/paperless-ngx-local-ai/

In the guide, he makes no mention of GPU specs that he's using, he just mentions that the model he's using it "runs great". In fact, he even specifies that an NVIDIA GPU is optional but recommended for vision OCR.

Well I recently just bought a 5060 Ti 16GB for my own desktop to playing around with local LLMs, and moved my older 1660 Super 6GB to the server for plex transcoding and hopefully running some light duty LLMs (particularly for this use case).

The problem is, I can't get really any competent model running to perform the OCR without missing huge portions of text and/or straight up hallucinating stuff that isn't in there. The model will load entirely on VRAM, and then it will crash after trying to process even basic PDF files, due to running out of memory. I've had some luck with turning on the OCR_LIMIT_PAGES : "1", but still will generally crash.

I've gotten it to process a few documents with moondream and some non-vision models, and it will just miss entire swaths of text or adding stuff that's not even remotely related to the document. I know 6GB isn't huge, but why is one page at a time killing the entire model, especially when he's saying GPU is optional?

This is just a personal home server, and I'm not going to be crunching out a massive workflow, basically just receipts and letters and "important stuff" here and there. Accuracy is far more important to me than speed, as long as I'm also utilizing the hardware to it's fullest ability.

My problem with the built in paperless-ngx OCR is that if the page is flipped at all (or a bit crumpled), it just goes and types a whole bunch of gibberish in the content field.

Anyone have any luck with smaller models? Anyone care to share their docker settings?

u/Auwardamn — 3 months ago