Free lessonsLLM Evaluation: Datasets, Metrics, and Practice
LLM Evaluation: Datasets, Metrics, and Practice
3 lessons
Lesson 2 · 21 min
Manual and Automated Evaluation Plans
Experiment：Place evaluation data, human judgment, and automation in one evaluation workflow.
Open this lesson on Bilibili讲AI的小坛Bilibili seriesThe lesson is in Chinese and plays from Bilibili.
Not translated yet — showing the Chinese originals.
About the series
A three-video path through LLM evaluation: evaluation datasets, manual and automated workflows, and a hands-on C-Eval run with LM Evaluation Harness and vLLM.
- Who it is for
- Testers, developers, and AI engineers who need to design LLM evaluations, prepare datasets, or run public benchmarks.
- What you can do afterwards
- Distinguish datasets, metrics, and execution tools, then prepare an evaluation, choose a method, and complete a reproducible benchmark run.
Training a whole team? It is arranged by scope. Book an evaluation