Summary
A developer built a local Elixir/Python pipeline to curate 14,000 RAW photos, initially attempting to use LLMs like LLaVA for photo quality assessment. After finding LLMs ineffective for subjective taste, they demoted them to metadata extraction. The core of the system became a custom CLIP/Ridge Regression pipeline designed to learn personal photo preferences based on user ratings, orchestrated with Phoenix/Oban.
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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