What are your thoughts on #privacy and #itsecurity regarding the #LocalLLMs you use? They seem to be an alternative to ChatGPT, MS Copilot etc. which basically are creepy privacy black boxes. How can you be sure that local LLMs do not A) “phone home” or B) create a profile on you, C) that their analysis is restricted to the scope of your terminal? As far as I can see #ollama and #lmstudio do not provide privacy statements.
From my privacy trials on ollama - any model downloaded does not know the date or time and cannot access the internet.
If you are still sceptical you could download something like alpaca on flathub and once youve acquired a model, remove internet access etc through flatseal.
D) what is AMD support like or is the Python fan boys still focusing on Nvidia exclusively?
I’m running gpt4all on AMD. Had to figure out which packages to install, which took a while, but since then it runs fine just fine
Good to know. Is there a particular guide that you followed to get it running on AMD?
arch wiki and gpt4all github & issues
Since you ask, here are my thoughts https://fabien.benetou.fr/Content/SelfHostingArtificialIntelligence with numerous examples. To clarify your points :
- rely on open-source repository where the code is auditable, hopefully audited, and try offline
- see previous point
- LLMs don’t “analyze” anything, they just spit out human looking text
To clarify on the first point, as the other 2 unfold from there, such project would instantly lose credibility if they were to sneak in telemetry. Some FLOSS projects tried that in the past and it always led to uproars, reverts and often forks of the exact same codebase but without telemetry.
“They just spit out human looking text” is so incredibly regressive and asinine.
have you looked at backyard ai?
