Building a homework-correction pipeline in 30 minutes with Ling-3.0-flash-VL
nikola_mr64990 · x · 2026-09-21
A developer shares how he built a homework-correction tool in 30 minutes using Ant's newly open-sourced Ling-3.0-flash-VL. Instead of processing images directly, he prompts the VLM to output coordinates for wrong answers, question regions, and handwritten areas, then uses a script to crop, clean, and reassemble the questions — replacing the usual OCR + layout-analysis + custom-model stack.
- Ling-3.0-flash-VL has 124B total parameters but only 5.5B active per token (MoE), making it fast and cheap enough for visual agent workloads
- He clarifies VLMs understand images and output text/coordinates/code — they are not image-generation models
- Next step: use the large VLM as a teacher model to generate labeled data for training a smaller, faster specialized model
- Coordinates can still be off, so it's not yet replacing homework apps
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