Submitted 9 months ago by Eezyville@sh.itjust.works to technology@lemmy.world
https://itsfoss.com/open-source-chatgpt-alternatives/
For those of you who don’t want to use a ChatGPT but want a LLM.
Very strange article. It lists several front ends, some of which are not open source, as well as some raw models without clearly distinguishing between them. RWKV was mentioned which is cool I guess.
The first option listed should have been huggingchat, followed by the various local UIs, with a separate section discussing the models themselves.
I feel like most of these “10 alternatives to xyz”-articles are basically a summary of alternativeto.net. Or they’ve just listed all projects they’ve found with a quick search. I’m almost certain they didn’t install them most of the time.
This also applies to “comparison” sites, which usually are a list of Amazon affiliate links. At this point, I don’t trust websites with affiliate links anymore, as they’ve never actually tried the products. Sadly those spam sites make it difficult to find actually good reasearched tests.
Back to itsfoss, they write many articles, and some are good, but they still are blog spam.
Pretty bad article, but here are my two cents on the actual answer to the wisdom, as of right now:
For more niche applications like role playing or ERP, just search on huggingface.co and read the user reviews.
No mention of the (ai horde)[aihorde.net] , seriously? We have thousands of users!
That’s dope never heard of it until now
It’s a bad list.
YSK: There are several things mixed in it.
There is a bewildering array of models out there. Mostly, they are specialized and/or merged versions of some popular foundation models (by mistral, meta, and a few others). Without endorsing any service, I find that openrouter.ai and together.ai let you try a fairly large selection. There are other services.
You can find more/better information here: !localllama@sh.itjust.works
I use chat.petals.dev I think that is also open source
I asked it “how are you?”
After waiting 5 minutes it errors and my browser crashed.
That’s a perfectly acceptable response from Gen-A.
That would be my answer too TbF
Yeah… That’s the problem with FOSS LLMs, either you have a whole expensive setup to run your own personal AI chatbot or you might as well just use ChatGPT.
Shit…it’s become self aware.
That’s unfortunate! I never had it crash and i use it a lot
I’ve been using iask.ai or Phind.com for mostly quick answers to my simple questions, these get me by but I’m no coder or author and I have noticed these options are often pretty terrible for math queries.
Also want to mention privateGPT
Holy Cyberjesus… I don’t experience with ChatGPT and the likes, and it’s obviously only one response, but the answer I got to “Is it okay to do intense tempo runs in winter?” is absolutely useless and wrong and neglecting the actual problems that are usually mentioned (cold air while breathing intensely):
Intense tempo runs are usually done at tempo, which means that your foot contacts the ground after a relatively long time. This is different from the typical duration of a foot contact in normal running. In normal running, the foot contacts the ground after a relatively short time. In a tempo run, the duration of your foot contact with the ground is increased, which causes you to run at a faster pace than usual.
Intense tempo runs are typically done in the winter, when the ground is harder and more difficult to run on. Hard ground can be more damaging to your body, so it’s important to be careful when running on snow, ice, or concrete. It’s important to take safety precautions when doing intense tempo runs in the winter, such as wearing proper shoes and clothing, and avoiding running on icy or snowy surfaces.
It’s important to note that intense tempo runs can be dangerous if not done properly. It’s important to have a good understanding of your body and what works best for you. It’s also important to consult with a doctor before starting any new running program, especially if you have any previous injuries or health concerns.
sir_reginald@lemmy.world 9 months ago
As it’s to be expected from this website, the article is subpar.
They mix hosted LLMs with their own model, with frontends (KoboldAI, GPT4ALL) and with local models (which BTW, every single one of them is a llama finetune. They’ve never heard of mistral or others, apparently).