As you may know, ChatGPT collects a lot of data on the users for the improvement of their AI, but this poses risks in its own way. I was wondering whether there are privacy alternatives to ChatGPT. Perhaps on F-Droid or Aurora/PlayStore, or for Linux.
Are there any alternatives you know of? Or are there other ways to interact with ChatGPT without giving personal information, such as a privacy focussed front-end?
I use Andi, which is enough for my needs, and for sure is the most private and trustworth AI out there (maybe locally hosted apart). It was the first AI chat/search ever, long before the others from Google, Bing and Fakebook. Former LazyWeb.
You could try DuckDuckGo’s implementation of 3.5. According to their privacy policy, no personal data is sent back to OpenAI for training. The model is also offline (it cannot access the internet in realtime to provide you with a more accurate answer).
Hmm, not sure exactly. I’ve been using Llama3 because it seems to give decent results for most things quickly, but I haven’t really done much coding with it outside of some simple bash scripts TBH.
I am looking for a basic coding AI. I don’t want to create a complex software, just something to get me started by example. So bash script level is good enough for me.
Be aware OP that local LLMs are quite a bit worse than what’s available online. Llama 3 is (probably?) the best one available now and even that has a habit of being very stupid sometimes compared to claude or chatgpt.
Do you happen to know how this self-hosting would work? Can I run it at my desktop/phone or even a raspberry pi? How is the quality of generated results compared to ChatGPT?
Typically llm are rather ressource intensive - you need beefy hardware to run those at speed. Especially if you intend to train them with your data to improve their relevance. I don’t think mobile phones or run to the mill laptops are going to be enough for any non-trivial implementations. I might be skewed by experiences on non-personal projects though.
I can run 7B models on my laptop with its embedded GPU. Running on a phone or a Pi is possible with smaller models, but very slow. Expect good speed with a desktop Nvidea GPU. Later this year, there should be new computers with an NPU integrated to the CPU which should speed up computers that don’t have a dedicated GPU. (But a GPU will still outperform them by a lot.)
70B models will run very slowly on even the best consumer hardware due to memory limitations.
Add comment