Re:Deep Research
by stonogo on Sunday February 02, 2025 @10:35PM
(#42914660)
It's a sort of unofficial trade association where they coalesce on specific redefinitions of terms to meet their sales and PR efforts. First they came for "intelligence," then "open source," then "reason," and it will continue. Any word which the PR wants but they can't achieve gets redefined -- "grok" is a perfect example, since in the original sci-fi book it meant "total understanding." The mythological Triton ruled the deeps, so the "deep learning" sales copy immediately co-opted it.
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Also "accuracy" as a measure of model's performance used to mean something objective in the traditional ML world.
Now with LLMs it is what human evaluators feel about the LLM output?
Traditional ML is no stranger to measuring accuracy in terms of agreement with human evaluators.
A customer churn model or revenue forecast did have hard objective data (ground truth) to compare against - isn't it?
Re:Deep Research
by ptrrrrrrppr on Monday February 03, 2025 @05:14AM
(#42916750)
you seem to think all classical ML models were supervised, which isn't true. and we have metrics for unsupervised approaches as well