A chart titled “What Kind of Data Do AI Chatbots Collect?” lists and compares seven AI chatbots—Gemini, Claude, CoPilot, Deepseek, ChatGPT, Perplexity, and Grok—based on the types and number of data points they collect as of February 2025. The categories of data include: Contact Info, Location, Contacts, User Content, History, Identifiers, Diagnostics, Usage Data, Purchases, Other Data.

  • Gemini: Collects all 10 data types; highest total at 22 data points
  • Claude: Collects 7 types; 13 data points
  • CoPilot: Collects 7 types; 12 data points
  • Deepseek: Collects 6 types; 11 data points
  • ChatGPT: Collects 6 types; 10 data points
  • Perplexity: Collects 6 types; 10 data points
  • Grok: Collects 4 types; 7 data points
  • exothermic@lemmy.world
    13·
    10 months ago

    Are there tutorials on how to do this? Should it be set up on a server on my local network??? How hard is it to set up? I have so many questions.

      • CodexArcanum@lemmy.dbzer0.comEnglish
        5·
        10 months ago

        If by more learning you mean learning

        ollama run deepseek-r1:7b

        Then yeah, it’s a pretty steep curve!

        If you’re a developer then you can also search “$MyFavDevEnv use local ai ollama” to find guides on setting up. I’m using Continue extension for VS Codium (or Code) but there’s easy to use modules for Vim and Emacs and probably everything else as well.

        The main problem is leveling your expectations. The full Deepseek is a 671b (that’s billions of parameters) and the model weights (the thing you download when you pull an AI) are 404GB in size. You need so much RAM available to run one of those.

        They make distilled models though, which are much smaller but still useful. The 14b is 9GB and runs fine with only 16GB of ram. They obviously aren’t as impressive as the cloud hosted big versions though.

    • Pennomi@lemmy.worldEnglish
      10·
      10 months ago

      Check out Ollama, it’s probably the easiest way to get started these days. It provides tooling and an api that different chat frontends can connect to.

    • TangledHyphae@lemmy.world
      1·
      10 months ago

      https://ollama.ai/, this is what I’ve been using for over a year now, new models come out regularly and you just “ollama pull <model ID>” and then it’s available to run locally. Then you can use docker to run https://www.openwebui.com/ locally, giving it a ChatGPT-style interface (but even better and more configurable and you can run prompts against any number of models you select at once.)

      All free and available to everyone.

    • skarn@discuss.tchncs.de
      1·
      10 months ago

      If you want to start playing around immediately, try Alpaca if Linux, LMStudio if Windows. See if it works for you, then move from there.

      Alpaca actually runs its own Ollama instance.