memos VS aitextgen

Memos - customise max content length of memo

You might want to also check out memos. Nothing like Drupal or WP, but for saving notes/entries/memos and having a very simple system to make some posts public, some only shared with a small group, and some completely private, it's a very elegant system. https://github.com/usememos/memos

EDIT: Thanks for the recommendations from all of you!! I've chose to use the below: - Files: sftpgo - Calendar: baikal - Notes: memos (But beware, it sends opt-out telemetry) - Network folder: webdav on sftpgo

Joplin is exactly what you need. You can even self-host your own Joplin encrypted sync server. If you want more of a social/collaboration platform have a look at Memos.

From the Pull Requests, it looks like Comments API is in the works.

https://github.com/usememos/memos/pull/1900

https://thenewleafjournal.com/

I started NLJ back in 2020. It is built with WordPress (hosted on Hetzner VPS and managed with Cloudron). I have published more than 800 articles and 350 short-form posts (almost all posts by me, but my friend has published 30something articles). I write about whatever interests me (I tell myself this means there is something for everyone). Common topics include, but are not limited to, tech (digital ownership, open source software, feeds, and my learning Linux), history (usually American or Roman), old books and poems, anime, visual novels (mainly English translations of freeware NScripter/KiriKiri novels), photos from my walks, fictional dialogues, and occasional commentary about life in NYC.

https://memos.emucafe.org/u/2

I am testing out Memos (https://github.com/usememos/memos) for short-form notes and microblog-style posts, but very much a side project next to NLJ. Neat little tool.

Memos is absolutely amazing. Have you tried it. It's like your own private twitter but for notes with search and a graph type thingy like github has for commits. It's amazing. https://github.com/usememos/memos

It's literally a wrapper for the ChatGPT API (currently). I have another library for training models from scratch but haven't had time to work on it.

I'm experimenting with https://github.com/minimaxir/aitextgen for some some simple tasks. It is pretty much a wrapper around gpt2 and gpt neox models.

I'm sorry if this is the wrong place to ask, but I wasn't sure where else to turn. Several of us have already opened an issue with AITextGen, but it seems that the maintainer isn't particularly active these days. I'm a fairly proficient developer (self-taught), and I know my way around ML, but I was not formally-educated in deep learning. A lot of Pytorch-Lightning looks like black magic, to me. I suspect that I'm missing an important detail that would be fairly simple for many of you to identify.

To train small gpt-like models, there's also aitextgen: https://github.com/minimaxir/aitextgen

It's actually relatively easy to train your own GPT model and there are multiple tools out there that make it almost just plug and play: https://github.com/minimaxir/aitextgen

I've been learning python and for the past few days, I've been playing around with the aitextgen library.

Then I ran that through the ai and got it to spit out cards that looked like that training data. I used aitextgen. So I let it run for like 4 hours and it thinks it has made 10,000 rows of cards. But some of these cards are duplicates to each other or to cards that already exist, or use a card name that already exists in the original game, or have like 20 '|' characters in one row, or have zero '|'. So I run a script to remove all of these cards like that, and I end up with like 2,000-4,500 cards that are "functional".

If you search this subreddit, you should find lots of discussions about it, as well as alternatives like GPT-J (open source). If you'd like to experiment with GPT-2 for text generation, try https://github.com/minimaxir/aitextgen. It's fun to play with.

Hey HN! I've been lurking for a while now and I've finally created something that I feel is worth sharing.

I've called this project "Tensorpedia." At its core, Tensorpedia takes in a title and utilizes it as a prompt for GPT-2 to synthesize the introductory part of a Wikipedia article. The machine learning stuff is written using a wonderful library called aitextgen [0], using Wikipedia's "Vital Articles" as a data set [1]. The server is written in Node, and it uses Redis as an article cache. If you want to read my article about it (for some reason), you can check it out here [2].

I created this project to get more experience with server technologies. While I wouldn't say it's a complicated application, I learned quite a lot from it.

Additionally, as I was inspired by all of those this-x-doesn't-exist projects from a while back, this project is mostly for fun. As such, I don't know how much practical use it has, but I've generated some pretty hilarious articles from it.

[0] https://github.com/minimaxir/aitextgen

[1] https://en.wikipedia.org/wiki/Wikipedia:Vital_articles/Level...

[2] https://jonahsussman.net/posts/2022-01-this-wiki-dne/

If by downloaded you mean clone the gpt-2 github repo it doesn't come with those scripts. I personally played around with https://github.com/minimaxir/aitextgen which is a simple wrapper around the gpt-2 code, it comes with some very clear usage. (Shout out to minimaxir and everyone else involved in aitextgen for making using gpt-2 easy to use!)