Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it

2023 will be remembered as the year when the communication barrier between human and machine intelligence was breached, as online chatbots such as ChatGPT went public able to respond intelligibly to questions and even perform language-based tasks. It is possible that in the near future we could see...

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Bibliographic Details
Main Authors: Koo, Jawoo, Devare, Medha, King, Brian
Format: Blog Post
Language:Inglés
Published: CGIAR System Organization 2023
Subjects:
Online Access:https://hdl.handle.net/10568/130265
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author Koo, Jawoo
Devare, Medha
King, Brian
author_browse Devare, Medha
King, Brian
Koo, Jawoo
author_facet Koo, Jawoo
Devare, Medha
King, Brian
author_sort Koo, Jawoo
collection Repository of Agricultural Research Outputs (CGSpace)
description 2023 will be remembered as the year when the communication barrier between human and machine intelligence was breached, as online chatbots such as ChatGPT went public able to respond intelligibly to questions and even perform language-based tasks. It is possible that in the near future we could see these large-scale machine learning models having an impact in agri-food systems, for example by providing individually tailored advice to smallholder farmers.
format Blog Post
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institution CGIAR Consortium
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publishDate 2023
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spelling CGSpace1302652025-06-30T08:32:27Z Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it Koo, Jawoo Devare, Medha King, Brian big data open access access to information information services artificial intelligence 2023 will be remembered as the year when the communication barrier between human and machine intelligence was breached, as online chatbots such as ChatGPT went public able to respond intelligibly to questions and even perform language-based tasks. It is possible that in the near future we could see these large-scale machine learning models having an impact in agri-food systems, for example by providing individually tailored advice to smallholder farmers. 2023-04-14 2023-05-05T13:20:13Z 2023-05-05T13:20:13Z Blog Post https://hdl.handle.net/10568/130265 en Open Access CGIAR System Organization Koo, Jawoo; Devare, Medha; and King, Brian. 2023. Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it. CGIAR Blog. https://www.cgiar.org/news-events/news/chatgpt-cgiar-open-access-fair/
spellingShingle big data
open access
access to information
information services
artificial intelligence
Koo, Jawoo
Devare, Medha
King, Brian
Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it
title Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it
title_full Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it
title_fullStr Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it
title_full_unstemmed Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it
title_short Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it
title_sort impressed with chatgpt s agricultural knowledge cgiar s open access effort probably enabled it
topic big data
open access
access to information
information services
artificial intelligence
url https://hdl.handle.net/10568/130265
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