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Tiny per‑option encoders beat larger joints

Tiny per‑option encoders beat larger joints

Thirty‑two‑million‑parameter per‑option encoders now outperform larger joint models on closed‑set decision benchmarks [1] . The surprise is that a tiny per‑opti…

Englishdev.to Machine Learning
When do you lock the evaluation set?

When do you lock the evaluation set?

At Landvex we're about to scale collection and annotation across several document families, mixed image and file inputs. The obvious failure mode is multiplying…

Englishdev.to Machine Learning
NLP #2: Unicode and UTF-8

NLP #2: Unicode and UTF-8

Originally published on almoghagbi.com , where the figures are interactive. Before a natural language processing (NLP) model can split text into words or tokens…

Englishdev.to Machine Learning