- A conceptual framework in natural language processing (NLP) that employs large language models (LLMs) as evaluators to assess the performance of other language-based systems or outputs. Instead of relying solely on human annotators, the approach leverages the general language capabilities of advanced language models to serve as automated judges. ← Wikipedia
- Related terms: Large language model · Natural language processing · Lazy evaluation · Strict evaluation
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