What is LLM-as-Judge?

A language model trained on massive text corpora to generate and analyze text.

Learning patterns from unlabeled data without explicit target outputs.

A privacy technique that adds statistical noise so individual records cannot be reliably inferred from outputs.

A language-agnostic tokenizer that learns subword units directly from raw text without pre-splitting on whitespace.

A benchmark testing language models across 57 academic and professional subjects using multiple-choice questions.

A mathematical objective that quantifies prediction error during training.