Privacy alternatives ChatGPT
Privacy alternatives ChatGPT
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?
Yep, I use: https://github.com/oobabooga/text-generation-webui and currently am using this model:
mistralai/Mistral-7B-Instruct-v0.2.
Hi there! Looks like you linked to a Lemmy community using a URL instead of its name, which doesn't work well for people on different instances. Try fixing it like this: !localllama@sh.itjust.works
Very helpful! Thanks!
also see !fosai@lemmy.world
I use https://huggingface.co/chat/, which is an open source alternative to ChatGPT.
Their privacy policy is here.
Ddg chat
One of these is programming oriented but they let you choose the model so I guess it is fine:
OpenAI API alternative:
Good to have, I'm a bit of a programmer myself :)
There are private GPT solutions coming, f.e. https://www.fujitsu.com/global/products/data-transformation/data-driven/ai-test-drive/
They are aimed at companies that for compliance reasons want to self host.I wouldn't trust an llm solution with sensitive information unless I host it myself.
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?
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.
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.
The best option is to run them models locally. You'll need a good enough GPU - I have an RTX 3060 with 12 GB of VRAM, which is enough to do a lot of local AI work.
I use Ollama, and my favourite model to use with it is Mistral-7b-Instruct. It's a 7 billion parameter model optimised for instruction following, but usable with 4 bit quantisation, so the model takes about 4 GB of storage.
You can run it from the command line rather than a web interface - run the container for the server, and then something like
docker exec -it ollama ollama run mistral, giving a command line interface. The model performs pretty well; not quite as well on some tasks as GPT-4, but also not brain-damaged from attempts to censor it.By default it keeps a local history, but you can turn that off.
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).
I've been using GPT4All and quite liking it so far.
I'm taking a chance, but which model would you use for learning new programming language?
I use venice.ai because it's browser based and does not require an account. It is somewhat limited, but it works for my extremely limited purposes.
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.
Anyone know if there is a way to feed a local AI some of the one notes from my job so I can search like a lazy bastard?
Yeah. You can use ollama, and openwebui. Openwebui allows you to RAG (search your own files) with little effort