Maybe you notice an issue in your day-to-day, at work, or have an idea you want but don't have the time to do it yourself.
Please share! Cheers :)
1–10 of 32 posts
Maybe you notice an issue in your day-to-day, at work, or have an idea you want but don't have the time to do it yourself.
Please share! Cheers :)
To comprehend the latest paper, I frequently find it necessary to grasp the context provided by its citations. All pertinent papers collectively shape a Directed Acyclic Graph.
Is there a tool available that would enable me to organize papers in a DAG, allowing me to formulate a structured reading plan? Currently, my PDFs are scattered across different locations, and I essentially have to rely on memory to recall the dependencies between papers.
I also want to share my organized papers with the same research group.
I recently read somewhere that a paper is a small part of a long on-going conversation. I found this description aptly. To comprehend the latest paper, I frequently find it necessary to grasp the context provided by its citations. All pertinent papers collectively shape a Directed Acyclic Graph. Is there a tool available that would enable me to organize papers in a DAG, allowing me to formulate a structured reading p…
- Paper you are currently reading taking up 2/3rds of the screen (left side) - Right side of the screen is a graph of references from, and references to, the paper - You can click on any node in the tree (paper titles of references and referencees) and then that paper loads up on your left side reading pane?
(Bonus: maybe nodes in the tree can be sized relatively by how cited a paper is.)
Also, would using a single site like arxiv.org be sufficient? Maybe for some fields of research but not others? As a dev I'd want to identify a single main repository as a starting point.
Something like the GPTs from openai that I can run locally without being hosted in the cloud
I also have this fascination because I'd like to have my LLM exist like a 'pocket calculator' that's safe from any technical fiasco in the future...
But aside from this I'm wondering why others are into this as well.
Something like the GPTs from openai that I can run locally without being hosted in the cloud
Out of curiosity what are the use cases/benefits for running models locally? I also have this fascination because I'd like to have my LLM exist like a 'pocket calculator' that's safe from any technical fiasco in the future... But aside from this I'm wondering why others are into this as well.
iOS/Android keyboard that is context aware and can correct your typos based on context.
First off, thank you for stating this explicitly. I get annoyed by the posts clearly fishing for ideas while acting like they have no specific motive for the questions. So I like your transparency!
Honestly, I have a desire for an AI digital art product that has nothing to do with LLMs, but would instead be akin to what "style transfer" work was heading towards a few years back, but never quite landed where I hoped... what I'd like to see is an AI that can look at multiple artistic works done by the user, and blend them together for new results, but all sourced on that user/artist's original works. Something that lets me say, "I love how the aesthetic of my painting turned out, but I wish the image depicted this photo I took." Style transfer, but personal styles only, and without the "deep mind" artifacts that filled that stuff back in the day.
I have no idea if people have kept working on those areas or not - I found references to various GANs in more recent years, but they all still seem to suffer from those "deep mind" artifacts that made the initial work interesting but ultimately unusable for creative pursuits.
It should do headings, pictures (as local files), and other kinds of formatting as well.