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AtlasRepo

Tahini is sesame: teaching a small open model to spot hidden allergens

Описание и применение

BoldPrint автоматически генерирует этикетки с аллергенами, таблицами питания и Nutri‑Score, снижая пропущенные аллергены до 3 % и стоимость до 0,12 $ за тысячу этикеток.

Задача

Small food sellers need accurate allergen labels but manual labeling is error‑prone and costly.

Результат

BoldPrint reduces missed allergens from 74% (untrained model) to 3% (shipped product) on 32 real recipes, achieving $0.12 per thousand labels.

Рабочий процесс

  • Paste recipe text
  • Model parses ingredients and identifies allergens
  • Cross‑check with Open Food Facts lexicon
  • Generate nutrition table and Nutri‑Score
  • Export PNG or PDF sticker
  • Optional human review of ⚠ Check lines

Доказательства

On 32 real-world recipes I wrote and labelled by hand (brands, typos, several languages): ... BoldPrint as shipped (model + lexicon cross-check) 3.0% missed allergens, 2/32 labels with a miss.

Источник

The lexicon alone missed 11% of the allergens, and 9 of the 32 labels had at least one miss.

Источник

Over 20 RL steps, missed allergens per label on the training batches fell from about 0.05 to under 0.02, and the average reward roughly tripled (0.22 → 0.66).

Источник

  • Дата записи: 2026-10-17T10:41:20.647Z