Is Symbolic Regression still a thing, given LLMs' performance? [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I've been teaching myself about Symbolic Regression (SR), which looks like a super exciting field. (A great intro resource below [1]).
But then I was wondering: given LLMs' increasingly-growing power in generating code, which is in a way very similar to Symbolic Regression (or of course, even directly tackling symbolic regression tasks), are existing SR techniques dead? Happy to hear your thoughts.
[1] ETH Zürich AISE: Symbolic Regression and Model Discovery - YouTube
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