LLM-as-a-judge techniques use language models to score or compare outputs from other AI systems. Evaluation prompts describe desired qualities such as factual accuracy or helpfulness. The judge model then produces a rating or explanation. Enterprises apply this method to automate benchmark comparisons and continuous testing across chatbots and RAG pipelines.