Harnessing Chat GPT (generative pretrained transformer) to engage youth and women in climate-smart and sustainable livestock farming
cg.contact | M.zeleke@cgiar.org | en_US |
cg.contributor.center | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.contributor.crp | Resilient Agrifood Systems - RAFS | en_US |
cg.contributor.funder | CGIAR Trust Fund | en_US |
cg.contributor.initiative | Sustainable Animal Productivity | en_US |
cg.contributor.project-lead-institute | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.coverage.end-date | 2023-12-31 | en_US |
cg.coverage.start-date | 2023-01-02 | en_US |
cg.creator.id | Rudiger, Udo: 0000-0003-0202-7461 | en_US |
cg.subject.actionArea | Resilient Agrifood Systems | en_US |
cg.subject.agrovoc | innovation | en_US |
cg.subject.agrovoc | women | en_US |
cg.subject.agrovoc | youth | en_US |
cg.subject.agrovoc | climate-smart agriculture | en_US |
cg.subject.impactArea | Poverty reduction, livelihoods and jobs | en_US |
cg.subject.impactArea | Gender equality, youth and social inclusion | en_US |
cg.subject.sdg | SDG 1 - No poverty | en_US |
cg.subject.sdg | SDG 8 - Decent work and economic growth | en_US |
cg.subject.sdg | SDG 10 - Reduced inequalities | en_US |
dc.contributor | Rudiger, Udo | en_US |
dc.creator | Ekule, Muluken | en_US |
dc.date.accessioned | 2024-01-11T16:55:24Z | |
dc.date.available | 2024-01-11T16:55:24Z | |
dc.description.abstract | This literature review on harnessing Chat GPT focusses on how Chat GPT guides youth and women on feed production. least cost formulation, forecasting feed balance. It highlights advances, gaps and opportunities in literature. | en_US |
dc.identifier | https://online.fliphtml5.com/icpyl/qdwk/#p=263 | en_US |
dc.identifier | https://mel.cgiar.org/reporting/downloadmelspace/hash/2696c85ac74d52fe4c6f3170391d7a9d | en_US |
dc.identifier.citation | Muluken Ekule, Udo Rudiger. (26/9/2023). Harnessing Chat GPT (generative pretrained transformer) to engage youth and women in climate-smart and sustainable livestock farming. Gaborone, Botswana. | en_US |
dc.identifier.status | Open access | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/69022 | |
dc.language | en | en_US |
dc.publisher | All Africa Conference of Animal Agriculture | en_US |
dc.rights | Copyrighted; Non-commercial educational use only | en_US |
dc.subject | scaling | en_US |
dc.subject | chat gpt | en_US |
dc.title | Harnessing Chat GPT (generative pretrained transformer) to engage youth and women in climate-smart and sustainable livestock farming | en_US |
dc.type | Conference Paper | en_US |
dcterms.available | 2023-09-26 | en_US |
dcterms.issued | 2023-09-26 | en_US |