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.