Interesting. I've been doing similar stuff with my archive on a weak Celeron laptop with 4GB RAM using vanilla ML tech that I'm learning by prompting LLMs (heh). Extract all info from media as sidecar files and all, exploring low power approaches.
I can sell this as a service to people who can't even run an LLM, or don't want to cook their hardware.
Waitlist open:
"Catalog, search, preview, and generate production-ready prompts & scripts from your entire archive — on your existing hardware. Then render in the cloud."
I can sell this as a service to people who can't even run an LLM, or don't want to cook their hardware.
Waitlist open:
"Catalog, search, preview, and generate production-ready prompts & scripts from your entire archive — on your existing hardware. Then render in the cloud."
https://harlanji.pythonanywhere.com/assetforge/