4 ms·
The crux is how big the L is in the local LLMs. Depending on what it's used for, you can actually get really good performance on topically trained models when l
by MPSimmons 1y ago
The crux is how big the L is in the local LLMs. Depending on what it's used for, you can actually get really good performance on topically trained models when leveraged for their specific purpose.
- rickdeckard 1y agoThere's alot of L's in LLLM, so overall it's hard to tell what you're trying to say... Is it 'Local'?, 'Large?'...'Language?'
- touristtam 1y agoDo you see the C for Cheap in there? Me neither.
- rickdeckard 1y agoSorry I'm not following. Cheap in terms of what, hardware cost? From Apple's point of view a local model would be the cheapest possible to run, as the end-user pays for hardware plus consumption...
- fennecfoxy 1y agoClearly the Large part, given the context...LLMs usually miss stuff like this, funnily enough.
- triceratops 1y agoUsername checks out.