this post was submitted on 16 Jul 2024
32 points (97.1% liked)

Hardware

396 readers
72 users here now

All things related to technology hardware, with a focus on computing hardware.

Rules:

  1. Follow the Lemmy.world Rules - https://mastodon.world/about

  2. Be kind. No bullying, harassment, racism, sexism etc. against other users.

  3. No Spam, illegal content, or NSFW content.

  4. Please stay on topic, adjacent topics (e.g. software) are fine if they are strongly relevant to technology hardware. Another example would be business news for hardware-focused companies.

  5. Please try and post original sources when possible (as opposed to summaries).

  6. If posting an archived version of the article, please include a URL link to the original article in the body of the post.

Some other hardware communities across Lemmy:

Icon by "icon lauk" under CC BY 3.0

founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 2 points 1 month ago (1 children)

So what are the benefits with respect to local LLMs in the context I described?

[–] [email protected] 15 points 1 month ago (1 children)

If you’re doing it locally, more sensitive queries become ok, because that data is never leaving your computer…..

[–] [email protected] 4 points 1 month ago

Even when you’re not sending data that you consider sensitive, it’s helping train their models (and you’re paying for it!).

Also what’s not sensitive to one person might be extremely sensitive to another.

Also something you run locally, by definition, can be used with no Internet connection (like writing code on a plane or in a train tunnel).

For me as a consultant, it means I can generally use an assistant without worrying about privacy policies on the LLM provider or client policies related to AI and third parties in general.

For me as an individual, it means I can query the model away without worrying that every word I send it will be used to build a profile of who I am that can later be exploited by ad companies and other adversaries.