this post was submitted on 10 Nov 2023
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LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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Why not test all models for training on the test data with Min-K% Prob? (alien.top)
submitted 1 year ago by vatsadev@alien.top to c/localllama@poweruser.forum
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So there detect pretrain data, https://swj0419.github.io/detect-pretrain.github.io/ , where one can test if a model has been pretrained on the text or not, so why dont we just test all the models going on the leaderboard, and just reject those detected for pretrain data? It would end the "train on test" issue

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[–] ninjasaid13@alien.top 1 points 1 year ago

It's all a rabbit hole of time wasting, imho. People judge x or y model on how well it works for their use cases.

Well people don't want to be falsely advertised on the capabilities of the model, if it's only good on certain use cases, then just say it.