this post was submitted on 02 Aug 2024
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That's why I hate the term AI. Say it is a predictive llm or a pattern recognition model.
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.
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.
That performance curve seems terrible for any practical use.
Yeah that's an unacceptably low ROC curve for a medical usecase
Good catch!
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.
The correct term is "Computational Statistics"
Stop calling it that, you're scaring the venture capital
it's a good term, it refers to lots of thinks. there are many terms like that.
The problem is that it refers to so many and constantly changing things that it doesn't refer to anything specific in the end. You can replace the word "AI" in any sentence with the word "magic" and it basically says the same thing...