Aprendizado por reforço com feedback humano (Portuguese Wikipedia)
Analysis of information sources in references of the Wikipedia article "Aprendizado por reforço com feedback humano" in Portuguese language version.
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acm.org
dl.acm.org
- MacGlashan, James; Ho, Mark K; Loftin, Robert; Peng, Bei; Wang, Guan; Roberts, David L.; Taylor, Matthew E.; Littman, Michael L. (6 de agosto de 2017). «Interactive learning from policy-dependent human feedback». JMLR.org. Proceedings of the 34th International Conference on Machine Learning - Volume 70: 2285–2294. arXiv:1701.06049
alignmentforum.org
- Christiano, Paul. «Thoughts on the impact of RLHF research» (em inglês). Consultado em 4 de março de 2023
arstechnica.com
- Edwards, Benj (1 de dezembro de 2022). «OpenAI invites everyone to test ChatGPT, a new AI-powered chatbot—with amusing results». Ars Technica (em inglês). Consultado em 4 de março de 2023
- Edwards, Benj (1 de dezembro de 2022). «OpenAI invites everyone to test ChatGPT, a new AI-powered chatbot—with amusing results». Ars Technica (em inglês). Consultado em 4 de março de 2023
arxiv.org
- Ziegler, Daniel M.; Stiennon, Nisan (2019). «Fine-Tuning Language Models from Human Preferences». arXiv:1909.08593 [cs.CL]
- MacGlashan, James; Ho, Mark K; Loftin, Robert; Peng, Bei; Wang, Guan; Roberts, David L.; Taylor, Matthew E.; Littman, Michael L. (6 de agosto de 2017). «Interactive learning from policy-dependent human feedback». JMLR.org. Proceedings of the 34th International Conference on Machine Learning - Volume 70: 2285–2294. arXiv:1701.06049
- Ouyang, Long; Wu, Jeffrey; Jiang, Xu; Almeida, Diogo; Wainwright, Carroll; Mishkin, Pamela; Zhang, Chong; Agarwal, Sandhini; Slama, Katarina (31 de outubro de 2022). «Training language models to follow instructions with human feedback» (em inglês). arXiv:2203.02155
- Fernandes, Patrick; Madaan, Aman (2023). «Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation». arXiv:2305.00955 [cs.CL]
- Ouyang, Long; Wu, Jeff; Jiang, Xu; Almeida, Diogo; Wainwright, Carroll L.; Mishkin, Pamela; Zhang, Chong; Agarwal, Sandhini; Slama, Katarina (2022). «Training language models to follow instructions with human feedback». arXiv:2203.02155
- Glaese, Amelia; McAleese, Nat (2022). «Improving alignment of dialogue agents via targeted human judgements». arXiv:2209.14375 [cs.LG]
- Casper, Stephen; Davies, Xander; Shi, Claudia; Gilbert, Thomas Krendl; Scheurer, Jérémy; Rando, Javier; Freedman, Rachel; Korbak, Tomasz; Lindner, David; Freire, Pedro; Wang, Tony; Marks, Samuel; Segerie, Charbel-Raphaël; Carroll, Micah; Peng, Andi; Christoffersen, Phillip; Damani, Mehul; Slocum, Stewart; Anwar, Usman; Siththaranjan, Anand; Nadeau, Max; Michaud, Eric J.; Pfau, Jacob; Krasheninnikov, Dmitrii; Chen, Xin; Langosco, Lauro; Hase, Peter; Bıyık, Erdem; Dragan, Anca; Krueger, David; Sadigh, Dorsa; Hadfield-Menell, Dylan (2023). «Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback». arXiv:2307.15217 [cs.AI]
deepmind.com
- «Learning through human feedback». www.deepmind.com (em inglês). Consultado em 4 de março de 2023
doi.org
dx.doi.org
- Belenguer, Lorenzo (2022). «AI bias: exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry». AI Ethics. AI and Ethics. 2 (4): 771–787. PMC 8830968. doi:10.1007/s43681-022-00138-8
forbes.com
- Farseev, Aleks. «Council Post: Is Bigger Better? Why The ChatGPT Vs. GPT-3 Vs. GPT-4 'Battle' Is Just A Family Chat». Forbes (em inglês). Consultado em 4 de março de 2023
huggingface.co
- Lambert, Nathan; Castricato, Louis; von Werra, Leandro; Havrilla, Alex. «Illustrating Reinforcement Learning from Human Feedback (RLHF)». huggingface.co. Consultado em 4 de março de 2023
- Lambert, Nathan; Castricato, Louis; von Werra, Leandro; Havrilla, Alex. «Illustrating Reinforcement Learning from Human Feedback (RLHF)». huggingface.co. Consultado em 4 de março de 2023
- «Illustrating Reinforcement Learning from Human Feedback (RLHF)». Hugging Face
- «Paper page - Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback». huggingface.co. 31 de julho de 2023. Consultado em 31 de julho de 2023
nih.gov
ncbi.nlm.nih.gov
- Belenguer, Lorenzo (2022). «AI bias: exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry». AI Ethics. AI and Ethics. 2 (4): 771–787. PMC 8830968. doi:10.1007/s43681-022-00138-8
nips.cc
papers.nips.cc
- Christiano, Paul F; Leike, Jan; Brown, Tom; Martic, Miljan; Legg, Shane; Amodei, Dario (2017). «Deep Reinforcement Learning from Human Preferences». Curran Associates, Inc. Advances in Neural Information Processing Systems. 30. Consultado em 4 de março de 2023
openai.com
- «Learning from human preferences». openai.com. Consultado em 4 de março de 2023
- «Faulty reward functions in the wild». OpenAI
openreview.net
- Ouyang, Long; Wu, Jeffrey; Jiang, Xu; Almeida, Diogo; Wainwright, Carroll; Mishkin, Pamela; Zhang, Chong; Agarwal, Sandhini; Slama, Katarina (31 de outubro de 2022). «Training language models to follow instructions with human feedback» (em inglês). arXiv:2203.02155
- Zhang, Chiyuan; Bengio, Samy; Hardt, Moritz; Recht, Benjamin; Vinyals, Oriol (4 de novembro de 2016). «Understanding deep learning requires rethinking generalization». International Conference on Learning Representations
princeton.edu
cs.princeton.edu
- Wang, Austin. «Training Language Models to Follow Instructions with Human Feedback» (PDF). Princeton
springer.com
link.springer.com
- Belenguer, Lorenzo (2022). «AI bias: exploring discriminatory algorithmic decision-making models and the application of possible machine-centric solutions adapted from the pharmaceutical industry». AI Ethics. AI and Ethics. 2 (4): 771–787. PMC 8830968. doi:10.1007/s43681-022-00138-8
techcrunch.com
- Wiggers, Kyle (24 de fevereiro de 2023). «Can AI really be protected from text-based attacks?». TechCrunch. Consultado em 4 de março de 2023
venturebeat.com
- Abhishek, Gupta (5 de fevereiro de 2023). «Getting stakeholder engagement right in responsible AI». VentureBeat. Consultado em 4 de março de 2023