Nace AI's Drex Max v1 is a 27B decision model that returns probabilities instead of text
Drex Max v1 reads a prompt and returns probabilities over up to 255 options in one pass. Weights are public, but the RAIL-M licence limits commercial use.
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Drex Max v1 reads a prompt and returns probabilities over up to 255 options in one pass. Weights are public, but the RAIL-M licence limits commercial use.
Base Labs released mammoth-1 (27B) and elephant-1 (9B) under MIT. They score options in one pass for routing and triage. Free on Baseten until 27 October.
A concrete confusion matrix shows why an impressive accuracy score can conceal zero rare-case recall, and how to compare a classifier with an always-negative baseline.
A classifier can keep the same scores while its precision, recall, and F1 change with the cutoff. Choose that cutoff on validation data and reserve an untouched test set.
Label smoothing mixes a one-hot target with a uniform distribution. The loss then rewards a finite probability spread and changes how confidence should be interpreted.
Choose a model by the work you need checked, composed, and explained. A narrow classifier and a general generator answer different kinds of questions.
IBM (Sep 30, 2026) Content Cortex Premium GA: governed agents for redaction, legal holds, classification, key-data extraction, and smart search in folders/search/viewers—customer policies, HITL, immutable audit.