Free lessonsLLM Evaluation: Datasets, Metrics, and Practice
LLM Evaluation: Datasets, Metrics, and Practice
3 lessons
Lesson 3 · 5 min
Run a Benchmark with C-Eval
Experiment：Run a public benchmark with C-Eval, LM Evaluation Harness, and vLLM.
Open this lesson on Bilibili漆妮妮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