INVALID LANGUAGE PAIR SPECIFIED. EXAMPLE: LANGPAIR=EN|IT USING 2 LETTER ISO OR RFC3066 LIKE ZH-CN. ALMOST ALL LANGUAGES SUPPORTED BUT SOME MAY HAVE NO CONTENT For best results, run generation across multiple contrastive search configurations and rank outputs by perplexity. See the companion Streamlit app for a full implementation. The training dataset was generated synthetically using Gemini 2.5 Flash via Vertex AI in a three-stage pipeline: 100,000 diverse prompts were generated across five categories (20 each per batch): — Mid-tail, search query style (single or multi-faceted) — Long-tail, search query style (multi-faceted) — Simple, prompt-like (single-faceted) — Typical, prompt-like (single or multi-faceted) — Detailed, prompt-like (multi-faceted) Generation was parallelized with 100 concurrent API Each prompt was sent back to Gemini 2.5 Flash (with thinking disabled) to produce…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: dejanseo
Теги: gemma3_text, reverse-prompting, prompt-reconstruction, gemma, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 18
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
