Скачать или смотреть LLM-as-a-Judge Evaluation: When To Use Role of COT, Reasoning & Explanations

n all LLM-as-a-judge evaluations, two choices shape how reliable and useful the results are: whether you ask for explanations and whether you add chain of thought (CoT) prompting.

In this session, Elizabeth Hutton (Senior AI Engineer - Evals) and Sri Chavali (AI Engineer) will look at whether explanation order matters, when CoT is genuinely helpful, and why clear, well-structured prompts often outperform extra reasoning steps.

Learn practical strategies for making LLM evaluations more accurate, transparent, and scalable.

Notebook: https://github.com/Arize-ai/phoenix/b...

Learn more about these evidenced-based prompting strategies for LLM as a judge: https://arize.com/blog/evidence-based...

Some pre-built evaluators LLM as a Judge and more research: https://arize.com/llm-as-a-judge/