This is an experimental research preview of a reasoning-augmented climate-smart agriculture (CRSA) model for Indian Agriculture. Primary purpose Assist farmers, agronomists and ag-tech developers with Climate-Resilient and Sustainable Agriculture (CRSA) recommendations tailored to Indian conditions (e.g., APCNF/organic practices, climate-smart cropping, pest IPM, soil/nutrient management). Direct use examples Decision-support micro-service answering agronomic queries. Content generation for ag-extension material. Out-of-scope uses Any medical, legal, or financial advice. Real-time critical decision making without human validation. * Disinformation, hateful or extremist content. The dataset is synthetic/aligned through “chain-of-thought + answer” format that explicitly separates the model’s private reasoning ( … ) from the final answer, reducing chain-of-thought leakage at inference time. May embed agronomic bias toward Indian Natural Farming practices (APCNF). Climate data cited is static (2024) – cross-check against latest IMD advisories. * Still prone to LLM hallucinations; always validate high-stakes advice with qualified professionals. Contact Questions or feedback? Open…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: KissanAI
Теги: qwen3, llama-factory, conversational, text-generation-inference, endpoints_compatible
Лайков: 4 | Загрузок: 12
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
