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PM_ME_VINTAGE_30S@lemmy.sdf.org ⁨2⁩ ⁨months⁩ ago

Say it is a predictive llm

According to the paper cited by the article OP posted, there is no LLM in the model. If I read it correctly, the paper says that it uses PyTorch’s implementation of ResNet18, a deep convolutional neural network that isn’t specifically designed to work on text. So this term would be inaccurate.

or a pattern recognition model.

Much better term IMO, especially since it uses a convolutional network. But since the article is a news publication, not a serious academic paper, the author knows the term “AI” gets clicks and positive impressions (which is what their job actually is) and we wouldn’t be here talking about it.

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BeliefPropagator@discuss.tchncs.de ⁨2⁩ ⁨months⁩ ago
That performance curve seems terrible for any practical use.

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- loonsun@sh.itjust.works ⁨2⁩ ⁨months⁩ ago
  Yeah that’s an unacceptably low ROC curve for a medical usecase
  
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- PM_ME_VINTAGE_30S@lemmy.sdf.org ⁨2⁩ ⁨months⁩ ago
  Good catch!
  
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FierySpectre@lemmy.world ⁨2⁩ ⁨months⁩ ago
Well, this is very much an application of AI… Having more examples of recent AI development that aren’t ‘chatgpt’(/transformers-based) is probably a good thing.

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- wewbull@feddit.uk ⁨2⁩ ⁨months⁩ ago
  Op is not saying this isn’t using the techniques associated with the term AI. They’re saying that the term AI is misleading, broad, and generally not desirable in a technical publication.
  
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  - FierySpectre@lemmy.world ⁨2⁩ ⁨months⁩ ago
    
    Op is not saying this isn’t using the techniques associated with the term AI.
    
    Correct, also not what I was replying about. I said that using AI in the headline here is very much correct. It is after all a paper using AI to detect stuff.
    
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