Foyer study: logistic regression beats LLMs on inbox routing
On about 200 labels, logistic regression led every field, while the most accurate system ignored 18% of emails needing action.
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On about 200 labels, logistic regression led every field, while the most accurate system ignored 18% of emails needing action.
Researchers store encrypted KV cache on NVMe so Gemma 4 recalls facts across 50 million tokens without recompute.
Galahad caches byte-exact KV state so repeated LLM document reading becomes a one-time cost.
Cohere released North Small Translate, an open-weight 218B MoE (25B active) translation model scoring 83.6 on WMT26 across 50 languages.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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