this post was submitted on 02 Oct 2023
16 points (100.0% liked)
Free Open-Source Artificial Intelligence
2764 readers
2 users here now
Welcome to Free Open-Source Artificial Intelligence!
We are a community dedicated to forwarding the availability and access to:
Free Open Source Artificial Intelligence (F.O.S.A.I.)
More AI Communities
LLM Leaderboards
Developer Resources
GitHub Projects
FOSAI Time Capsule
- The Internet is Healing
- General Resources
- FOSAI Welcome Message
- FOSAI Crash Course
- FOSAI Nexus Resource Hub
- FOSAI LLM Guide
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
I never considered 8 - 11. Those are really interesting use cases. I’m with you on every other point. I’m particularly interested in solving the messy unstructured notes scenario. I really feel you on that one. I’ll see what I can do!
I came up with a few more in case you need more inspiration:
My experience is that you need to go to 10 doctors until you get the right diagnosis. If you have a model that gets it right only 50% of the time, that's still better than the doctors. Especially if you train them to give you all possible diagnosis that fit your case.
I know these topics are sensitive, but the potential upside is enormous. Even if the model isn't perfect, it just has to be better than the alternative. Which more often than not is no or shitty health care.
Also with plant and mushroom id LLMs could be helpful. They could ask you pertinent questions about the morphology of the plant/fungus, and give you a risk profile, what plants/fungi can easily be mixed up etc..
You could probably tell an LLM what food you have at home and it could suggest recipies.
You could make one talk with itself nonstop as two different characters when you're out on vacation, to hopefully shoo away burglars.
Literally every kid would have the smartest, most patient teacher available to them 24/7
You could have a image to text model interactively explain the world around them to the visually impaired.
In general I hope that LLMs embrace reinforcement learning and become much more user customizable. Not just LLMs, other model too, like text to image or any to any. I could see models being the future where you basically get 9 outputs, you label the ones you like and the ones you don't like, the you get 9 more, rinse and repeat, and the model output slowly moves to EXACTLY what you had in mind. Not just trough zero-shot learning, but actual learning too. Imagine you had a model that could generate movies. You just tell it what you like and what you don't like and it will generate a first movie. Anything you don't like during that movie, you just tell it on the fly. After the 10th movie hopefully it would only generate movies that are perfect for you.
Huge input length models like LongNet or retrieval based models would be great to generate entire worldbuilding scenarios. With detailed and coherent histories for many different countries/characters/arcs etc.. You could have a video game that comes up with entire coherent worlds tailored to your likings, adapting to your decisions on the fly.
Similarly, a good night story telling model.
A parental advice model. So many parents have zero idea how to raise healthy children. Having an AI sidekick could help with that. An impartial force that will tell you when your parenting style is counterproductive.
You could let a bunch of LLM powered solar robots loose that prentend like they are spirits, causing mischief. (they will demand you solve a riddle, else they don't let you pass the bridge)
You could train LLMs on the letters of famous people of history and talk to them as if they were still alive.
You could have your car guilt trip you if you are being a bad driver. Similarly it could join you in passionately complaing about other drivers.
You could have an LLM that is trained to plan your leasure time. Optimized to always make you do something different, go to a different local restaurant etc..