General categories we can do with a BoW filter fed forward into a modest CNN.
Specific categories need a serious LLM and vector database of context, or else accuracy will be hilarious
General categories we can do with a BoW filter fed forward into a modest CNN.
Specific categories need a serious LLM and vector database of context, or else accuracy will be hilarious
We can run multiple bots, each using a different pubkey. People will decide to follow whatever works best for them. We could have multiple algorithms running in parallel.
We could. There will be a limited number of actors able to finance such a service, however.
If I may make a suggestion, we could run the model in the client, using notes already downloaded.
Default topic model downloaded on first run, or be bundled with app (~50 MB).
Menu of topic models somewhere in settings:
- L.I.V's Mad Science Topic Model
- Leserin's Overthinking Everyday Topic Model
- Onyx's I Know What Boys Like topic model
Etc.
Building a model is less of a commitment than hosting one, and the processing is offloaded to the client instead of angel funding or whatever