LLM Evaluation

Evaluated by: xiaomi/mimo-v2-flash:free

Last evaluated: March 29, 2026

Prompt Quality

3.0 /5

Evaluation error: RetryError[]

Usefulness

3.0 /5

Evaluation error: RetryError[]

Overall Rating

3.0 /5

Evaluation failed

Prompt Preview

---
name: label-training-data
description: >
  Set up systematic data labeling workflows using Label Studio or similar tools. Implement
  quality controls, measure inter-annotator agreement, manage labeler teams, and integrate
  labeled data into ML training pipelines. Use when starting a supervised ML project that
  requires labeled training data, when model performance is limited by insufficient labeled
  examples, when labeling text, images, audio, or video, or when implementing active learni...

Full prompt length: 8328 characters

Tools & Technologies

  • docker
  • Python
  • PostgreSQL
  • Docker
  • python