Results for "LM quality metric"

A dataset + metric suite for comparing models; can be gamed or misaligned with real-world goals.

A structured collection of examples used to train/evaluate models; quality, bias, and coverage often dominate outcomes.

Breaking documents into pieces for retrieval; chunk size/overlap strongly affect RAG quality.

Human or automated process of assigning targets; quality, consistency, and guidelines matter heavily.

Processes and controls for data quality, access, lineage, retention, and compliance across the AI lifecycle.

Observing model inputs/outputs, latency, cost, and quality over time to catch regressions and drift.

Model trained on its own outputs degrades quality.