docs/assets/qwen3_omni_lora_pipeline.prompt.md

# Qwen3-Omni LoRA Pipeline Figure Provenance

This presentation figure was generated with ChatGPT image generation and then
committed as a public visual asset for the Ropedia Xperience-10M task-suite
project.

Figure file:

- `docs/assets/qwen3_omni_lora_pipeline.png`

Design brief:

- Show the end-to-end flow from valid Xperience-10M raw episodes into
  episode-level split validation, parallel media and sensor export,
  Qwen3-Omni-compatible JSONL records, video/audio/text inputs, sensor-bridge
  features, LoRA adapter training, and final outputs.
- Make clear that train/validation staging and held-out test evaluation are
  separate steps.
- Use the dark green Ropedia-style visual language already used by the website.
- Do not show raw private data, model weights, or unverifiable metrics.

Scope:

- The figure documents the prepared Qwen3-Omni LoRA training path.
- It is not a completed held-out training metric report.