4 ms·
We’re not talking about running chatGPT locally though, are we?
by vlunkr 3y ago
We’re not talking about running chatGPT locally though, are we?
- fragmede 3y agosigh your going to make me open my laptop, aren't you.
- fragmede 3y agoI ran 'who won the 1986 Cricket World Cup' against llama2-uncensored (the local model I have pre-downloaded) and hilarious got 5 different answers asking it 5 times: >>> who won the 1986 Cricket World Cup India >>> who won the 1986 Cricket World Cup Australia >>> who won the 1986 Cricket World Cup New Zealand >>> who won the 1986 Cricket World Cup West Indies >>> who won the 1986 Cricket World Cup England Which proves GP's point about hallucinations, though none of those are > Brooklyn Nets won the 1986 Cricket World Cup by scoring 46 yards in only 3 frames LLM's hallucinations are insidous because they have the ring of truth around them. yards and frames aren't cricket terms, so we're off to the races with them.
- astrange 3y agoIf you want factual answers from a local model it might help to turn the temperature down.
- deleted 3y ago[deleted]
- jrflowers 3y ago> If you want factual answers from a local model it might help to turn the temperature down. This makes sense. If you interact with a language model and it says something wrong it is your fault
- astrange 3y agoYou're not "interacting with a language model", you're running a program (llama.cpp) with a sampling algorithm which is not set to maximum factualness by default. It's like how you have to set x264 to the anime tuning or the film tuning depending on what you run it on.
- fragmede 3y agoIt would also help if I had more VRAM and wasn't running a 7B parameter 4-bit quantized model.
- beefnugs 3y agoActually isn't this good? It means we can run something multiple times to prove itself a bad answer?
- latexr 3y agoYou can ask LLMs the same question and they might sometimes get it wrong and other times get it right. Having different answers is no indication that none of them is correct. Furthermore, even if an LLM always gives the same answer to a question, there’s no guarantee the answer is correct. https://en.wikipedia.org/wiki/Propaganda https://en.wikipedia.org/wiki/Propaganda https://en.wikipedia.org/wiki/Big_lie#Alleged_quotation https://en.wikipedia.org/wiki/Big_lie#Alleged_quotation
- sroussey 3y agoAn LLM will always give the same output for the same input. It’s sorta like a random number generator that gives the same list of “random” numbers for the same seed. LLMs get a seed too.
- latexr 3y agoThat’s irrelevant for the matter. The person I replied to obviously did not have seeded responses in mind.
- saagarjha 3y agoIt can tell you if the answer is wrong, but it can never tell you if the answer is right.
- ilaksh 3y agoYou should specify the model size and temperature. For fact retrieval you need to use temperature 0. If you don't get the right facts then try 34b, 70b, Mixtral, Falcon 180b, or another highly ranked one that has come out recently like DBRX.