GitHub Copilot (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "GitHub Copilot" in Chinese language version.

refsWebsite

Global rank Chinese rank

20web.archive.org

1^st place

4github.com

383^rd place

336^th place

3theverge.com

114^th place

276^th place

3github.blog

low place

3doi.org

2^nd place

23^rd place

2semanticscholar.org

11^th place

332^nd place

2sfconservancy.org

low place

1visualstudio.com

low place

8,873^rd place

1jetbrains.com

8,974^th place

5,855^th place

1infoworld.com

3,696^th place

4,044^th place

1analyticsindiamag.com

low place

4,491^st place

1technologyreview.com

1,943^rd place

2,036^th place

1infoq.com

6,158^th place

5,588^th place

1ieee.org

652^nd place

712^th place

1worldcat.org

5^th place

12^th place

1fsf.org

8,472^nd place

6,129^th place

1gnu.org

1,475^th place

1,365^th place

analyticsindiamag.com

OpenAI Releases GPT-3, The Largest Model So Far. Analytics India Magazine. 3 June 2020 [7 April 2022]. （原始内容存档于2020-08-04）（美国英语）.

doi.org

Finnie-Ansley, James; Denny, Paul; Becker, Brett A.; Luxton-Reilly, Andrew; Prather, James. The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming. Australasian Computing Education Conference. ACE '22 (New York, NY, USA: Association for Computing Machinery). 14 February 2022: 10–19. ISBN 978-1-4503-9643-1. S2CID 246681316. doi:10.1145/3511861.3511863.
Sobania, Dominik; Schweim, Dirk; Rothlauf, Franz. A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 2022: 1 [2022-08-04]. ISSN 1941-0026. S2CID 247721793. doi:10.1109/TEVC.2022.3162324. （原始内容存档于2022-04-01）.
Finnie-Ansley, James; Denny, Paul; Becker, Brett A.; Luxton-Reilly, Andrew; Prather, James. The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming. Proceedings of the 24th Australasian Computing Education Conference. ACE '22 (New York, NY, USA: Association for Computing Machinery). 2022-02-14. ISBN 978-1-4503-9643-1. doi:10.1145/3511861.3511863.

fsf.org

FSF-funded call for white papers on philosophical and legal questions around Copilot: Submit before Monday, August 23, 2021 — Free Software Foundation — Working together for free software. www.fsf.org. [2023-03-23]. （原始内容存档于2021-08-11）.

github.blog

Introducing GitHub Copilot: your AI pair programmer. The GitHub Blog. 2021-06-29 [2022-04-07]. （原始内容存档于2022-06-21）（美国英语）.
GitHub Copilot now available for Visual Studio 2022. The GitHub Blog. 29 March 2022 [7 April 2022]. （原始内容存档于2022-06-14）（美国英语）.
GitHub Copilot is generally available to all developers. The GitHub Blog. 21 June 2022 [21 June 2022]. （原始内容存档于2022-06-23）（美国英语）.

github.com

Copilot.vim, GitHub, 7 April 2022 [7 April 2022], （原始内容存档于2022-06-13）
GitHub Copilot · Your AI pair programmer. GitHub. [2023-03-23]. （原始内容存档于2023-06-11）（英语）.
CoPilot: Privacy & DataMining · community/community · Discussion #7263. GitHub. [2023-03-23]. （原始内容存档于2023-02-21）（英语）.

copilot.github.com

GitHub Copilot · Your AI pair programmer. GitHub Copilot. [7 April 2022]. （原始内容存档于2022-06-19）.

gnu.org

Who Does That Server Really Serve? - GNU Project - Free Software Foundation. www.gnu.org. [2023-03-23]. （原始内容存档于2023-06-09）.

ieee.org

ieeexplore.ieee.org

Sobania, Dominik; Schweim, Dirk; Rothlauf, Franz. A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 2022: 1 [2022-08-04]. ISSN 1941-0026. S2CID 247721793. doi:10.1109/TEVC.2022.3162324. （原始内容存档于2022-04-01）.

infoq.com

OpenAI Announces 12 Billion Parameter Code-Generation AI Codex. InfoQ. [7 April 2022]. （原始内容存档于2022-07-09）（英语）.

infoworld.com

Krill, Paul. OpenAI offers API for GitHub Copilot AI model. InfoWorld. 12 August 2021 [7 April 2022]. （原始内容存档于2022-04-17）（英语）.

jetbrains.com

plugins.jetbrains.com

GitHub Copilot - IntelliJ IDEs Plugin | Marketplace. JetBrains Marketplace. [2022-04-07]. （原始内容存档于2022-06-27）.

semanticscholar.org

api.semanticscholar.org

Finnie-Ansley, James; Denny, Paul; Becker, Brett A.; Luxton-Reilly, Andrew; Prather, James. The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming. Australasian Computing Education Conference. ACE '22 (New York, NY, USA: Association for Computing Machinery). 14 February 2022: 10–19. ISBN 978-1-4503-9643-1. S2CID 246681316. doi:10.1145/3511861.3511863.
Sobania, Dominik; Schweim, Dirk; Rothlauf, Franz. A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 2022: 1 [2022-08-04]. ISSN 1941-0026. S2CID 247721793. doi:10.1109/TEVC.2022.3162324. （原始内容存档于2022-04-01）.

sfconservancy.org

Give Up GitHub: The Time Has Come!. Software Freedom Conservancy. [2023-03-23]. （原始内容存档于2023-05-24）（英语）.
If Software is My Copilot, Who Programmed My Software?. Software Freedom Conservancy. [2023-03-23]. （原始内容存档于2023-05-27）（英语）.

technologyreview.com

OpenAI is giving Microsoft exclusive access to its GPT-3 language model. MIT Technology Review. [7 April 2022]. （原始内容存档于2021-02-05）（英语）.

theverge.com

Gershgorn, Dave. GitHub and OpenAI launch a new AI tool that generates its own code. The Verge. 2021-06-29 [2021-07-06]. （原始内容存档于2021-07-07）.
GitHub’s automatic coding tool rests on untested legal ground. The Verge. 2021-07-07 [2021-07-11]. （原始内容存档于2021-07-11）.
Gershgorn, Dave. Can AI learn from any public code online?. The Verge. 2021-07-07 [2023-03-23]. （原始内容存档于2021-07-11）（美国英语）.

visualstudio.com

marketplace.visualstudio.com

https://marketplace.visualstudio.com/items?itemName=GitHub.copilot.

web.archive.org

Gershgorn, Dave. GitHub and OpenAI launch a new AI tool that generates its own code. The Verge. 2021-06-29 [2021-07-06]. （原始内容存档于2021-07-07）.
GitHub’s automatic coding tool rests on untested legal ground. The Verge. 2021-07-07 [2021-07-11]. （原始内容存档于2021-07-11）.
GitHub Copilot · Your AI pair programmer. GitHub Copilot. [7 April 2022]. （原始内容存档于2022-06-19）.
Introducing GitHub Copilot: your AI pair programmer. The GitHub Blog. 2021-06-29 [2022-04-07]. （原始内容存档于2022-06-21）（美国英语）.
GitHub Copilot - IntelliJ IDEs Plugin | Marketplace. JetBrains Marketplace. [2022-04-07]. （原始内容存档于2022-06-27）.
Copilot.vim, GitHub, 7 April 2022 [7 April 2022], （原始内容存档于2022-06-13）
GitHub Copilot now available for Visual Studio 2022. The GitHub Blog. 29 March 2022 [7 April 2022]. （原始内容存档于2022-06-14）（美国英语）.
GitHub Copilot is generally available to all developers. The GitHub Blog. 21 June 2022 [21 June 2022]. （原始内容存档于2022-06-23）（美国英语）.
Krill, Paul. OpenAI offers API for GitHub Copilot AI model. InfoWorld. 12 August 2021 [7 April 2022]. （原始内容存档于2022-04-17）（英语）.
OpenAI Releases GPT-3, The Largest Model So Far. Analytics India Magazine. 3 June 2020 [7 April 2022]. （原始内容存档于2020-08-04）（美国英语）.
OpenAI is giving Microsoft exclusive access to its GPT-3 language model. MIT Technology Review. [7 April 2022]. （原始内容存档于2021-02-05）（英语）.
OpenAI Announces 12 Billion Parameter Code-Generation AI Codex. InfoQ. [7 April 2022]. （原始内容存档于2022-07-09）（英语）.
Sobania, Dominik; Schweim, Dirk; Rothlauf, Franz. A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 2022: 1 [2022-08-04]. ISSN 1941-0026. S2CID 247721793. doi:10.1109/TEVC.2022.3162324. （原始内容存档于2022-04-01）.
Gershgorn, Dave. Can AI learn from any public code online?. The Verge. 2021-07-07 [2023-03-23]. （原始内容存档于2021-07-11）（美国英语）.
Give Up GitHub: The Time Has Come!. Software Freedom Conservancy. [2023-03-23]. （原始内容存档于2023-05-24）（英语）.
If Software is My Copilot, Who Programmed My Software?. Software Freedom Conservancy. [2023-03-23]. （原始内容存档于2023-05-27）（英语）.
FSF-funded call for white papers on philosophical and legal questions around Copilot: Submit before Monday, August 23, 2021 — Free Software Foundation — Working together for free software. www.fsf.org. [2023-03-23]. （原始内容存档于2021-08-11）.
GitHub Copilot · Your AI pair programmer. GitHub. [2023-03-23]. （原始内容存档于2023-06-11）（英语）.
CoPilot: Privacy & DataMining · community/community · Discussion #7263. GitHub. [2023-03-23]. （原始内容存档于2023-02-21）（英语）.
Who Does That Server Really Serve? - GNU Project - Free Software Foundation. www.gnu.org. [2023-03-23]. （原始内容存档于2023-06-09）.

worldcat.org

Sobania, Dominik; Schweim, Dirk; Rothlauf, Franz. A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. 2022: 1 [2022-08-04]. ISSN 1941-0026. S2CID 247721793. doi:10.1109/TEVC.2022.3162324. （原始内容存档于2022-04-01）.