winchester6788
Joined 7 years ago
Karma
102
Submissions
31
Member since
Sep 20
Recent submissions
Comment · 9 months ago
Comment · 9 months ago
interesting that you chose to go the MITM way.
https://github.com/quilrai/LLMWatcher
here is my take on the same thing, but as a mac app and using BASE_URL for intercepting codex, claude code and hooks for cursor.
Comment · 9 months ago
Only reason I use searchable logs is, when I roll back something in claude conversation but later want to refer it.
Apart from that, may be somebody might find it useful for observing their usage patterns etc.
No grouping or correlation right now. Wanted to get some feedback/ opinions first
Comment · 11 months ago
Author of NudeNet here.
I just scraped data from reddit and other sources so i could build a nsfw classifier and chose to open source the data and the model for general good.
Note that i was a 1 year experienced engineer working solely on this project in my free time, so it was basically impossible for me to review or clear out the few csam images in the 100,000+ images in the dataset.
Although, now i wonder if i should never have open sourced the data. Would have avoided lot of these issues.
Comment · 11 months ago
Ooh, love the UX, the heat meter and contrarian detection are very nice ideas.
I recently released https://trackernews.app/browse which surfaces out and groups content from hn, reddit .. for user defined topics and extracts user defined structured data along with summaries.
a tangential take on similar problem with focus on grouping posts by topics.
would love to get any feedback on the UX/ understandability of the interface
Comment · 11 months ago
full of false positives though. but definitely good for some types of entities and regexes
Comment · 1 year ago
This holds true in most other countries as well. Gore/ chopping of appendages is happily accepted and enjoyed (in movies, games etc) by all of India, whilst a simple kiss can be a taboo/ issue.
Comment · 2 years ago
I made https://github.com/notAI-tech/fastDeploy for ease of use of deploying Deep learning models.
Except me and the team at my company nobody uses it.
After I made it lot of solutions came in this space, but IMO this is the easiest one to use still.
Comment · 2 years ago
The model is trained by giving pairs of examples. So that it learns to generate an internal representation of images, texts or whatever inputs.
There are other ways to train, but this is the basic example.
Comment · 2 years ago
2 chatgpt instances controlling the dual inputs would be funny
Comment · 3 years ago
They both solve different issues. This is a library akin to huggingface transformers, while tensorflow js is akin to tensorflow or pytorch
especially, because once x0K words crossed, the output becomes worser.
https://github.com/quilrai/LLMWatcher
made this mac app for the same purpose. any thoughts would be appreciated