iefan 🕊️ on Nostr: One interesting aspect of these LLMs is their general-purpose nature. eg, a model ...
One interesting aspect of these LLMs is their general-purpose nature. eg, a model proficient in coding is likely also adept at writing or understanding data.
Other factors, such as context window, also play a role. The model I'm using has a 2-million-token context window, roughly equivalent to 20-30 books per personality.
Consequently, you don't need 10 different AI app to handle 10 different tasks. A single AI app, with its behavior modified, can handle all of them, often with a single model.
Other factors, such as context window, also play a role. The model I'm using has a 2-million-token context window, roughly equivalent to 20-30 books per personality.
Consequently, you don't need 10 different AI app to handle 10 different tasks. A single AI app, with its behavior modified, can handle all of them, often with a single model.
quoting note10c5…wjx5Today I built an app I had wanted to build for a very long time. It's basically a personality-based AI chatbot.
You provide 2 simple things:
1st, instructions on how the model should behave. You can be very specific.
2nd, data. You want the personality to understand, that data can be bunch of PDFs.
It then turns that data & instructions into a personality. So, next time you ask it anything, that personality will have all the context of the data you provided & will behave according to your instructions.
When I'm all set, I'll open source it. you can simply attach your own API.