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: implement-diffusion-network
description: >
  Implement a generative diffusion model (DDPM or score-based) with noise
  scheduling, U-Net architecture, training loop, and sampling procedures
  including DDIM acceleration. Use when building a generative model for
  image, audio, or molecular synthesis; implementing DDPM from a research
  paper; adding a custom noise schedule or conditioning mechanism; replacing
  a GAN-based generator with a diffusion alternative; or prototyping...

Full prompt length: 18758 characters

Tools & Technologies

  • go
  • Docker
  • python