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The barriers to AI engineering are crumbling fast

(blog.helix.ml)
250 points lewq | 1 comments | 14 Nov 24 14:56 UTC | HN request time: 0.202s | source
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croes ◴[14 Nov 24 15:13 UTC] No.42136942[source]▶
Is that really AI engineering or Software engineering with AI?

If a model goes sideways how do you fix that? Could you find and fix flaws in the base model?

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sigmar ◴[14 Nov 24 15:42 UTC] No.42137298[source]▶
Agree that the use of "AI engineers" is confusing. Think this blog should use the term "engineering software with AI-integration" which is different from "AI engineering" (creating/designing AI models) and different from "engineering with AI" (using AI to assist in engineering)
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1. crimsoneer ◴[14 Nov 24 16:20 UTC] No.42137726[source]▶
The term AI engineer is now pretty well recognised in the field (https://www.latent.space/p/ai-engineer), and is very much not the same as an AI researcher (which would be involved in training and building new models). I'd expect an AI engineer to be primarily a software developer, but with an excellent understanding of how to implement, use and evaluate LLMs in a production environment, including skills like evaluation and fine-tuning. This is not some dataset you can just bundle in software developer.