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Harnessing AI-Chat GPT (Generative Pretrained Transformer) to engage youths and women in climate-smart, sustainable livestock farming
| Content Provider | Consultative Group on International Agricultural Research (CGIAR) |
|---|---|
| Author | Zeleke, Muluken Wamatu, Jane |
| Description | To assess the potential of AI-Chat GPT in providing information and provoking climate-smart sustainable livestock farming to youths and women. |
| Sponsorship | World Bank |
| Related Links | https://cgspace.cgiar.org/items/e575ae17-6653-48ac-8dd9-a83c1a36ff34 |
| File Format | |
| Language | English |
| Publisher | Accelerating Impacts of CGIAR Climate Research for Africa |
| Publisher Place | Addis Ababa, Ethiopia |
| Access Restriction | Open |
| Subject Keyword | Women Agriculture Climate Change Climate-smart Agriculture Farming Systems |
| Content Type | Text |
| Resource Type | Poster |
| Subject | Agronomy and Crop Science Food Science Plant Science |