Difference between revisions of "Talk:Timeline of ChatGPT"
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| 2019 || May 7 || || || Adam King on {{w|Twitter}} launches “TalktoTransformer.com”, a site where people can have an interface to play with OpenAI's new text-generating language model.<ref>{{cite web |title=https://twitter.com/adamdanielking/status/1125831730848571392?lang=en |url=https://twitter.com/adamdanielking/status/1125831730848571392?lang=en |website=Twitter |access-date=23 March 2023 |language=en}}</ref> | | 2019 || May 7 || || || Adam King on {{w|Twitter}} launches “TalktoTransformer.com”, a site where people can have an interface to play with OpenAI's new text-generating language model.<ref>{{cite web |title=https://twitter.com/adamdanielking/status/1125831730848571392?lang=en |url=https://twitter.com/adamdanielking/status/1125831730848571392?lang=en |website=Twitter |access-date=23 March 2023 |language=en}}</ref> | ||
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| + | | 2019 || May 9 || Hugging Face launches open-source conversational AI demo || || French company {{w|Hugging Face}} releases a conversational AI demo based on GPT-2 models. The company believes that [[W:Open-source software|open-source]] and knowledge sharing should be the default, and that the progress of deep learning for NLP is at risk without open-source. While they are firm believers in open-source, they also understand that technology is not neutral and specific action must be taken to ensure a positive impact. The company analyzed the potential malicious use of the technology, and concluded that it could be used for drastic improvement of {{w|spambot}}s or mass {{w|catfishing}} and [[w:Identity theft|identity fraud]]. To mitigate these risks, Hugging Face provides users with some simple tricks to recognize the conversational AI from a human conversation.<ref>{{cite web |last1=Delangue |first1=Clément |title=Ethical analysis of the open sourcing of a state-of-the-art conversational AI |url=https://medium.com/huggingface/ethical-analysis-of-the-open-sourcing-of-a-state-of-the-art-conversational-ai-852113c324b2 |website=HuggingFace |access-date=23 March 2023 |language=en |date=9 May 2019}}</ref> | ||
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| 2023 || February 25 || ChatAug, ChatGPT-based data augmentation for NLP tasks || || A paper introduces ChatAug, a text data augmentation approach based on ChatGPT, to mitigate the challenge of limited sample sizes in natural language processing tasks, particularly in few-shot learning scenarios. The proposed approach rephrases each sentence in the training samples into multiple conceptually similar but semantically different samples to ensure the faithfulness and completeness of the generated data. The experiment results demonstrate that ChatAug outperforms state-of-the-art text data augmentation methods in terms of testing accuracy and distribution of the augmented samples.<ref>{{cite journal |last1=Dai |first1=Haixing |last2=Liu |first2=Zhengliang |last3=Liao |first3=Wenxiong |last4=Huang |first4=Xiaoke |last5=Wu |first5=Zihao |last6=Zhao |first6=Lin |last7=Liu |first7=Wei |last8=Liu |first8=Ninghao |last9=Li |first9=Sheng |last10=Zhu |first10=Dajiang |last11=Cai |first11=Hongmin |last12=Li |first12=Quanzheng |last13=Shen |first13=Dinggang |last14=Liu |first14=Tianming |last15=Li |first15=Xiang |title=ChatAug: Leveraging ChatGPT for Text Data Augmentation |journal=arXiv:2302.13007 [cs] |date=27 February 2023 |doi=10.48550/arXiv.2302.13007 |url=https://arxiv.org/abs/2302.13007 |access-date=6 March 2023}}</ref> | | 2023 || February 25 || ChatAug, ChatGPT-based data augmentation for NLP tasks || || A paper introduces ChatAug, a text data augmentation approach based on ChatGPT, to mitigate the challenge of limited sample sizes in natural language processing tasks, particularly in few-shot learning scenarios. The proposed approach rephrases each sentence in the training samples into multiple conceptually similar but semantically different samples to ensure the faithfulness and completeness of the generated data. The experiment results demonstrate that ChatAug outperforms state-of-the-art text data augmentation methods in terms of testing accuracy and distribution of the augmented samples.<ref>{{cite journal |last1=Dai |first1=Haixing |last2=Liu |first2=Zhengliang |last3=Liao |first3=Wenxiong |last4=Huang |first4=Xiaoke |last5=Wu |first5=Zihao |last6=Zhao |first6=Lin |last7=Liu |first7=Wei |last8=Liu |first8=Ninghao |last9=Li |first9=Sheng |last10=Zhu |first10=Dajiang |last11=Cai |first11=Hongmin |last12=Li |first12=Quanzheng |last13=Shen |first13=Dinggang |last14=Liu |first14=Tianming |last15=Li |first15=Xiang |title=ChatAug: Leveraging ChatGPT for Text Data Augmentation |journal=arXiv:2302.13007 [cs] |date=27 February 2023 |doi=10.48550/arXiv.2302.13007 |url=https://arxiv.org/abs/2302.13007 |access-date=6 March 2023}}</ref> | ||
Revision as of 18:51, 28 August 2023
Extended timeline
| Year | Month and date | Domain | Event type | Details |
|---|---|---|---|---|
| 2019 | May 7 | Adam King on Twitter launches “TalktoTransformer.com”, a site where people can have an interface to play with OpenAI's new text-generating language model.[1] | ||
| 2019 | May 9 | Hugging Face launches open-source conversational AI demo | French company Hugging Face releases a conversational AI demo based on GPT-2 models. The company believes that open-source and knowledge sharing should be the default, and that the progress of deep learning for NLP is at risk without open-source. While they are firm believers in open-source, they also understand that technology is not neutral and specific action must be taken to ensure a positive impact. The company analyzed the potential malicious use of the technology, and concluded that it could be used for drastic improvement of spambots or mass catfishing and identity fraud. To mitigate these risks, Hugging Face provides users with some simple tricks to recognize the conversational AI from a human conversation.[2] | |
| 2023 | February 25 | ChatAug, ChatGPT-based data augmentation for NLP tasks | A paper introduces ChatAug, a text data augmentation approach based on ChatGPT, to mitigate the challenge of limited sample sizes in natural language processing tasks, particularly in few-shot learning scenarios. The proposed approach rephrases each sentence in the training samples into multiple conceptually similar but semantically different samples to ensure the faithfulness and completeness of the generated data. The experiment results demonstrate that ChatAug outperforms state-of-the-art text data augmentation methods in terms of testing accuracy and distribution of the augmented samples.[3] | |
| 2023 | March 29 | 1,000 signatories call for AI research halt | An "open letter" is published by Elon Musk (who by this time is no longer a member of OpenAI's board of directors) along with approximately 1,000 other signatories, including Steve Wozniak, the co-founder of Apple Inc. The letter requests a halt of six months in AI research. If researchers working on AI are unable to implement the pause, the letter proposes that federal and state governments intervene and enforce a moratorium.[4] | |
| 2023 | March 30 | Significant Gravitas releases AutoGPT | Developer Significant Gravitas posts Auto-GPT on GitHub. It is a freely available experimental software that demonstrates the potential of the GPT-4 language model. Using this software, GPT-4 powers a sequence of LLM "thoughts" to accomplish a desired task in an automated fashion. It represents one of the initial instances of GPT-4 functioning completely independently and represents a significant advancement in the capabilities of AI. As the name suggests, AutoGPT does all the prompting for the user automatically.[5] |
- ↑ "https://twitter.com/adamdanielking/status/1125831730848571392?lang=en". Twitter. Retrieved 23 March 2023. External link in
|title=(help) - ↑ Delangue, Clément (9 May 2019). "Ethical analysis of the open sourcing of a state-of-the-art conversational AI". HuggingFace. Retrieved 23 March 2023.
- ↑ Dai, Haixing; Liu, Zhengliang; Liao, Wenxiong; Huang, Xiaoke; Wu, Zihao; Zhao, Lin; Liu, Wei; Liu, Ninghao; Li, Sheng; Zhu, Dajiang; Cai, Hongmin; Li, Quanzheng; Shen, Dinggang; Liu, Tianming; Li, Xiang (27 February 2023). "ChatAug: Leveraging ChatGPT for Text Data Augmentation". arXiv:2302.13007 [cs]. doi:10.48550/arXiv.2302.13007. Retrieved 6 March 2023.
- ↑ "Should Artificial Intelligence Developers Take a 6-Month Break?". California Local. Retrieved 8 May 2023.
- ↑ "What is Auto GPT : Everything You Need To Know". DEV Community. Retrieved 8 May 2023.
