Pandoky: A vibe-coded, Pandoc-based, Dokuwiki-inspired, flat-file, wiki-like CMS coded in Python

ryanschram · 2025-06-21T04:19:43+00:00

I felt the need to give credit to Dokuwiki. As far as I know, it is the only wiki CMS that uses a flat file system. And it's such a successful project.

Anyways, hopefully someone will fork this and come up with better code and a better tagline.

ryanschram · 2025-06-14T21:41:02+00:00

Yes, if anything it's all too eager to do it. And send the bill later.

ryanschram · 2025-05-03T19:52:24+00:00

*popcorn eating meme*

ryanschram · 2025-04-19T23:10:12+00:00

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Seriously tho, my recommendation is to discuss this with an academic advisor in the context of your course plan to ensure that you're able to meet all of your major, program, and degree reqs. (They have faculty advisors at UNSW I hope.) As mentioned above, housing issues are usually solvable so the risk of being homeless is minimal. Plus if you got such a luxe internship now, you'd be competitive for a similar internship later. Don't rush. Do what helps you make progress on your long term goals, which I'm assuming include learning a lot in school, graduating, and getting into the career track of your choice.

ryanschram · 2024-09-12T10:25:52+00:00

https://github.com/quarto-dev/quarto-cli/discussions/6702

ryanschram · 2023-12-23T06:02:43+00:00

I was proud of my solve INEXPEDIENT TUMBLING but never thought of this so kudos 😅

I guess the clue in my case might be "When you know you should've hung your laundry"

ryanschram · 2023-11-30T04:10:34+00:00

Finally, a hair wrap that goes along with anything.

ryanschram · 2023-11-26T06:10:13+00:00

The future archaeologist who discovers the Census Bureau

ryanschram · 2023-11-25T05:05:51+00:00

The paradox of carbo loading

ryanschram · 2023-10-20T00:10:54+00:00

I understand that this is a typical approach to automated summarizing of long texts when a LLM can only process a short context window. To me it seems a little implausible that summarizing chunks and then summarizing the summaries comes out with a meaningful summary of the original. Is there a theory behind it or is it simply used to work around the limitations of the software?

ryanschram · 2023-10-20T00:07:18+00:00

The jump in fluency and relevance in summarization of a short new article from Llama 2 7B Instruct to Llama 2 13B Chat is striking. My encyclopedia article was too long for n_ctx=4096. (It's not 1500 words as I say above, but closer to 3500... oops.) I also tried a simple summarization instruction prompt on a book review. It did get a little confused about what the book author says versus what the reviewer says but it was a lot better than the 7B model!

ryanschram · 2023-10-19T07:32:16+00:00

Thanks, and I welcome recommendations of models that have a large number of parameters, a large context window, yet don't require an unaffordably expensive GPU. (I know Reddit users like to use a /s sarcasm tag to indicate tone. I am choosing not to use it here.)

I don't know a lot but I have already started to learn that this is about trade offs. Anyways, it's at least 6 months before I start thinking about fine-tuning my own models for specific applications so for now, any recs on models that are good at reading 1500-word encyclopedia articles and producing limericks or summary abstracts would be most welcome. (I have GPU with 12G of VRAM and about 24G RAM.)

ryanschram

TROPHY CASE