I ask for an example making up for the downside everyone as to pay.
so, no ! A better shutter puller or a maybe marginally better vocal assitant is not gonna cut it.
And again that’s stuff siri and domotic tools where able to do since 2014 at a minimum.
Voice recognition is not limited to siri, I just used the most know exemple. Local assitant have existed long before LLMs and didn’t require this much ressources.
You are once again moving the goal post. Find one real world use that offset the downside.
LLM translation are hazardous at best and we already a lot of translation tools already.
Templating systems are older than me and even so no one in their right mind should trust a non deterministic tool to draft documents.
Are you going to neat-pick a point each time rather than addressing my argument as a whole ?
I’m french and I can tell you in a software developement context AI is worse than existing tool like deepL, maybe it work better in afrikaans and if that’s the case good we finally have an use case !
sadly being ok at translating thing is not what thoose model are selled on and even if it were : it’s still not worth the cost
I’ll stop responding, no one is reading that far of a comment and you are not responding to my arguments in way that’s productive.
DeepL has the same issues that a LLM has when it comes to translating.
You’re still sending all your data to some server, it might be a bit more efficient than a LLM, not sure by how much. but it’s essentially the same thing.
DeepL is essentially just a LLM specifically tuned for translations
You asked for one example, I gave you one.
It’s not just voice, I can ask it complex questions and it can understand context and put on lights or close blinds based on that context.
I find it very useful with no real drawbacks
I ask for an example making up for the downside everyone as to pay.
so, no ! A better shutter puller or a maybe marginally better vocal assitant is not gonna cut it. And again that’s stuff siri and domotic tools where able to do since 2014 at a minimum.
Siri has privacy issues, and only works when connected to the internet.
What are the downsides of me running my own local LLM? I’ve named many benefits privacy being one of them.
Voice recognition is not limited to siri, I just used the most know exemple. Local assitant have existed long before LLMs and didn’t require this much ressources. You are once again moving the goal post. Find one real world use that offset the downside.
I’ve already mention drafting documents and translating documents
Once again it’s not enough to justify the cost.
LLM translation are hazardous at best and we already a lot of translation tools already. Templating systems are older than me and even so no one in their right mind should trust a non deterministic tool to draft documents.
That’s simply not true, What translation tool is better at translating English to Afrikaans?
I’m just just picking a difficult language, I am Afrikaans look at my post history.
Are you going to neat-pick a point each time rather than addressing my argument as a whole ?
I’m french and I can tell you in a software developement context AI is worse than existing tool like deepL, maybe it work better in afrikaans and if that’s the case good we finally have an use case ! sadly being ok at translating thing is not what thoose model are selled on and even if it were : it’s still not worth the cost
I’ll stop responding, no one is reading that far of a comment and you are not responding to my arguments in way that’s productive.
DeepL has the same issues that a LLM has when it comes to translating.
You’re still sending all your data to some server, it might be a bit more efficient than a LLM, not sure by how much. but it’s essentially the same thing.
DeepL is essentially just a LLM specifically tuned for translations
The fact that was the best you could come up with is far more damning than not even having one.
I’m keeping it simple, that’s a solid good use case, and what millions of people use ChatGPT for.