Ask HN: How do you use LLMs for private discussions?
5
eemerongi about 3 hours ago 8 comments
ES version is available. Content is displayed in original English for accuracy.
I sometimes have things to discuss with LLMs, which are more private than usual. I was thinking how to do it in a way that doesn't reveal my identity.
1. Use Tor to access the provider?
2. Create a random account?
3. Use some form of untraceable payment (which one?)
4. Scrub all information provided to the LLM from personally identifiable information?
It seems like a lot of effort. So is running a local LLM, for which I don't even have the hardware. How do you do it?
Discussion (8 Comments)Read Original on HackerNews
The models I'm using right now with that are:
https://ollama.com/pricing
It depends, but usually spin up an h100 on lambda.ai or coreweave. They have capacity and their UIs/APIs are nice. I spin it up for an hour or two, believe it was 6~ dollars an hour.
Once the gpu instance is up, you need to run vllm and a model, ie https://docs.lambda.ai/education/large-language-models/deplo....
Then you can connect your pi.dev, openwebui, etc etc to vllm and interact with it like normal.