How to Evaluate Your LLM Quality in n8n Using LLM as a Judge
In this video you will learn a practical, more reliable approach to evaluating LLM text generation using LLM as a judge, especially for tasks like proposal writing where many outputs can be correct but vary in style and length. Instead of relying on crude similarity scores, you can build a small checklist of domain-specific quality questions and use an LLM as a judge to answer those binary or rubric-style prompts at scale.
If you want evaluation that actually matches human judgment, think about what “good” means in your domain and translate that into measurable questions. Using an LLM as a judge combined with targeted checklists gives you scalable, explainable evaluation that’s far more useful for iteration than raw similarity metrics.
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