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What if GPT4 Became Autonomous: The Auto-GPT Project and Use Cases

Year 2023, Volume: 3 Issue: 1, 1 - 6, 10.03.2024

Mehmet Fırat Saniye Kuleli

https://doi.org/10.57020/ject.1297961
Cited By: 1

Abstract

Auto-GPT is a product of an experimental project that makes the use of GPT-4 autonomous. Notably, Auto-GPT emerged and spread rapidly, while the echo of OpenAI's ChatGPT continues. However, there are insufficient studies on this new application in related literature. The purpose of this exploratory case study was to explore the different use cases and experiences of Auto-GPT users. For this purpose, 16 users with an Auto-GPT experience on the GitHub platform were interviewed. Thematic content analysis was performed on the qualitative data. AutoGPT experiences of users can be characterized by learning programs, autonomous applications, conducting research, and writing reports. The results of this study showed that content creation is the most important purpose of using Auto-GPT. As independent research functions of Auto-GPT, users also emphasize data summarization and information organization. However, the participants also pointed out the token limit (inefficiency), forgetting generated tools, and iteration as some prominent limitations of Auto-GPT. It is possible to say that Auto-GPT has a high potential to use in also in educational purpose, but it is still in the development stage.

Keywords

Use Cases Auto-GPT GPT-4 ChatGPT

References

  • Galassi, A., Lippi, M., & Torroni, P. (2020). Attention in natural language processing. IEEE transactions on neural networks and learning systems, 32(10), 4291-4308.
  • Bahja, M. (2020). Natural language processing applications in business. E-Business-higher education and intelligence applications.
  • Lu, P., Peng, B., Cheng, H., Galley, M., Chang, K. W., Wu, Y. N., ... & Gao, J. (2023). Chameleon: Plug-and-play compositional reasoning with large language models. arXiv preprint arXiv:2304.09842.
  • Qin, Y., Hu, S., Lin, Y., Chen, W., Ding, N., Cui, G., ... & Sun, M. (2023). Tool learning with foundation models. arXiv preprint arXiv:2304.08354.
  • Palace, V. M. (2019). What if artificial intelligence wrote this: artificial intelligence and copyright law. Fla. L. Rev., 71, 217.
  • Rahimi, F., & Abadi, A. T. B. (2023). ChatGPT and publication ethics. Archives of medical research, 54(3), 272-274.
  • Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries?. Library Hi Tech News, 40(3), 26-29.
  • Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410.
  • OpenAI, (2023). Chat GPT. Retrieved from https://openai.com/blog/chatgpt/ on 2 January 2023.
  • Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI blog, 1(8), 9.
  • Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems, 33, 1877-1901.
  • Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems, 33, 1877-1901.
  • Koubaa, A. (2023). GPT-4 vs. GPT-3.5: A concise showdown. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.22312330.v1
  • Firat, M. (2023). How chat GPT can transform autodidactic experiences and open education. Department of Distance Education, Open Education Faculty, Anadolu University.
  • Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274..
  • Talan, T., & Kalınkara, Y. (2023). The role of artificial intelligence in higher education: ChatGPT assessment for anatomy course. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi, 7(1), 33-40.
  • de Winter, J. C. (2023). Can ChatGPT pass high school exams on English language comprehension. Researchgate. Preprint.
  • Susnjak, T. (2022). ChatGPT: The end of online exam integrity?. arXiv preprint arXiv:2212.09292.
  • Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. 2023-01-15 A Position Paper. https://www.edu.sot.tum.de/fileadmin/w00bed/hctl/_my_direct_uploads/ChatGPT_for_Good_.pdf
  • White, J., Hays, S., Fu, Q., Spencer-Smith, J., & Schmidt, D. C. (2023). Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design. arXiv preprint arXiv:2303.07839.
  • Radanliev, P., & De Roure, D. (2023). Review of the state of the art in autonomous artificial intelligence. AI and Ethics, 3(2), 497-504.
  • Guo, T. (2023). Auto Self-Correct ChatGPT. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.22688317.v1
  • Gizzi, E., Nair, L., Chernova, S., & Sinapov, J. (2022). Creative problem solving in artificially intelligent agents: A survey and framework. Journal of Artificial Intelligence Research, 75, 857-911.
  • Wang, Y. (2023). Autonomous AI (AAI) and Symbiotic Human-Machine Intelligence Systems. In Plenary talk, IEEE International Conference on Systems, Man, and Cybernetics (pp. 3-1).
  • Totschnig, W. (2020). Fully autonomous AI. Science and Engineering Ethics, 26, 2473-2485.
  • Yang, H., Yue, S., & He, Y. (2023). Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions. arXiv preprint arXiv:2306.02224.
  • Yang, H., Yue, S., & He, Y. (2023). Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions. arXiv preprint arXiv:2306.02224.
  • Thodberg, H. H., Thodberg, B., Ahlkvist, J., & Offiah, A. C. (2022). Autonomous artificial intelligence in pediatric radiology: the use and perception of BoneXpert for bone age assessment. Pediatric Radiology, 52(7), 1338-1346.
  • Firat, M. (2023). How chat GPT can transform autodidactic experiences and open education. Department of Distance Education, Open Education Faculty, Anadolu Unive.
  • Firat, M. (2023). How chat GPT can transform autodidactic experiences and open education. Department of Distance Education, Open Education Faculty, Anadolu Unive.
  • Yin, R. K. (2009). Case study research: Design and methods (Vol. 5). sage.
  • Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.
  • Chmiliar, I. (2010). Multiple-case designs. J. Mills, G. Eurepas & E. Wiebe (Eds.), In: Encyclopedia of case study research (pp. 582-584).
  • Merriam, S. B. (2013). Nitel araştırma: Desen ve uygulama için bir rehber. Çev.Ed. Sellahattin Turan. Ankara: Nobel Yayın Dağıtım.
  • Yin, R. K. (1984) Case study research.
  • Yin, R. K. (2009) Case study research: Design and methods. Vol. 5. Sage.
  • Swedberg, R. (2020) Exploratory research. The production of knowledge: Enhancing progress in social science, 17-41.
  • Vaismoradi, M., Hannele T., Terese B. (2013) Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nursing & health sciences, 15(3), 398-405.
  • Thodberg, H.H., Thodberg, B., Ahlkvist, J. et al. (2022) Autonomous artificial intelligence in pediatric radiology: the use and perception of BoneXpert for bone age assessment. Pediatr Radiol 52(7), 1338-1346. https://doi.org/10.1007/s00247-022-05295-w.
  • Noye, S., Martinez, R. M., Carnieletto, L., De Carli, M., & Aguirre, A. C. (2022). A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control. Renewable and Sustainable Energy Reviews, 153, 111685.
  • Noye, S., Martinez, R. M., Carnieletto, L., De Carli, M., & Aguirre, A. C. (2022). A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control. Renewable and Sustainable Energy Reviews, 153, 111685.
  • Omelianenko, I. (2022). Autonomous Artificial Intelligent Agents. Machine Learning and the City: Applications in Architecture and Urban Design, 263-285.
  • Omelianenko, I. (2022). Autonomous Artificial Intelligent Agents. Machine Learning and the City: Applications in Architecture and Urban Design, 263-285.
  • Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1)

What if GPT4 Became Autonomous: The Auto-GPT Project and Use Cases

Year 2023, Volume: 3 Issue: 1, 1 - 6, 10.03.2024

Mehmet Fırat Saniye Kuleli

https://doi.org/10.57020/ject.1297961
Cited By: 1

Abstract

Auto-GPT is a product of an experimental project that makes the use of GPT-4 autonomous. Notably, Auto-GPT emerged and spread rapidly, while the echo of OpenAI's ChatGPT continues. However, there are insufficient studies on this new application in related literature. The purpose of this exploratory case study was to explore the different use cases and experiences of Auto-GPT users. For this purpose, 16 users with an Auto-GPT experience on the GitHub platform were interviewed. Thematic content analysis was performed on the qualitative data. AutoGPT experiences of users can be characterized by learning programs, autonomous applications, conducting research, and writing reports. The results of this study showed that content creation is the most important purpose of using Auto-GPT. As independent research functions of Auto-GPT, users also emphasize data summarization and information organization. However, the participants also pointed out the token limit (inefficiency), forgetting generated tools, and iteration as some prominent limitations of Auto-GPT. It is possible to say that Auto-GPT has a high potential to use in also in educational purpose, but it is still in the development stage.

Keywords

Use Cases Auto-GPT GPT-4 ChatGPT

References

  • Galassi, A., Lippi, M., & Torroni, P. (2020). Attention in natural language processing. IEEE transactions on neural networks and learning systems, 32(10), 4291-4308.
  • Bahja, M. (2020). Natural language processing applications in business. E-Business-higher education and intelligence applications.
  • Lu, P., Peng, B., Cheng, H., Galley, M., Chang, K. W., Wu, Y. N., ... & Gao, J. (2023). Chameleon: Plug-and-play compositional reasoning with large language models. arXiv preprint arXiv:2304.09842.
  • Qin, Y., Hu, S., Lin, Y., Chen, W., Ding, N., Cui, G., ... & Sun, M. (2023). Tool learning with foundation models. arXiv preprint arXiv:2304.08354.
  • Palace, V. M. (2019). What if artificial intelligence wrote this: artificial intelligence and copyright law. Fla. L. Rev., 71, 217.
  • Rahimi, F., & Abadi, A. T. B. (2023). ChatGPT and publication ethics. Archives of medical research, 54(3), 272-274.
  • Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries?. Library Hi Tech News, 40(3), 26-29.
  • Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410.
  • OpenAI, (2023). Chat GPT. Retrieved from https://openai.com/blog/chatgpt/ on 2 January 2023.
  • Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI blog, 1(8), 9.
  • Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems, 33, 1877-1901.
  • Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. Advances in neural information processing systems, 33, 1877-1901.
  • Koubaa, A. (2023). GPT-4 vs. GPT-3.5: A concise showdown. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.22312330.v1
  • Firat, M. (2023). How chat GPT can transform autodidactic experiences and open education. Department of Distance Education, Open Education Faculty, Anadolu University.
  • Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274..
  • Talan, T., & Kalınkara, Y. (2023). The role of artificial intelligence in higher education: ChatGPT assessment for anatomy course. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi, 7(1), 33-40.
  • de Winter, J. C. (2023). Can ChatGPT pass high school exams on English language comprehension. Researchgate. Preprint.
  • Susnjak, T. (2022). ChatGPT: The end of online exam integrity?. arXiv preprint arXiv:2212.09292.
  • Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. 2023-01-15 A Position Paper. https://www.edu.sot.tum.de/fileadmin/w00bed/hctl/_my_direct_uploads/ChatGPT_for_Good_.pdf
  • White, J., Hays, S., Fu, Q., Spencer-Smith, J., & Schmidt, D. C. (2023). Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design. arXiv preprint arXiv:2303.07839.
  • Radanliev, P., & De Roure, D. (2023). Review of the state of the art in autonomous artificial intelligence. AI and Ethics, 3(2), 497-504.
  • Guo, T. (2023). Auto Self-Correct ChatGPT. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.22688317.v1
  • Gizzi, E., Nair, L., Chernova, S., & Sinapov, J. (2022). Creative problem solving in artificially intelligent agents: A survey and framework. Journal of Artificial Intelligence Research, 75, 857-911.
  • Wang, Y. (2023). Autonomous AI (AAI) and Symbiotic Human-Machine Intelligence Systems. In Plenary talk, IEEE International Conference on Systems, Man, and Cybernetics (pp. 3-1).
  • Totschnig, W. (2020). Fully autonomous AI. Science and Engineering Ethics, 26, 2473-2485.
  • Yang, H., Yue, S., & He, Y. (2023). Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions. arXiv preprint arXiv:2306.02224.
  • Yang, H., Yue, S., & He, Y. (2023). Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions. arXiv preprint arXiv:2306.02224.
  • Thodberg, H. H., Thodberg, B., Ahlkvist, J., & Offiah, A. C. (2022). Autonomous artificial intelligence in pediatric radiology: the use and perception of BoneXpert for bone age assessment. Pediatric Radiology, 52(7), 1338-1346.
  • Firat, M. (2023). How chat GPT can transform autodidactic experiences and open education. Department of Distance Education, Open Education Faculty, Anadolu Unive.
  • Firat, M. (2023). How chat GPT can transform autodidactic experiences and open education. Department of Distance Education, Open Education Faculty, Anadolu Unive.
  • Yin, R. K. (2009). Case study research: Design and methods (Vol. 5). sage.
  • Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.
  • Chmiliar, I. (2010). Multiple-case designs. J. Mills, G. Eurepas & E. Wiebe (Eds.), In: Encyclopedia of case study research (pp. 582-584).
  • Merriam, S. B. (2013). Nitel araştırma: Desen ve uygulama için bir rehber. Çev.Ed. Sellahattin Turan. Ankara: Nobel Yayın Dağıtım.
  • Yin, R. K. (1984) Case study research.
  • Yin, R. K. (2009) Case study research: Design and methods. Vol. 5. Sage.
  • Swedberg, R. (2020) Exploratory research. The production of knowledge: Enhancing progress in social science, 17-41.
  • Vaismoradi, M., Hannele T., Terese B. (2013) Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nursing & health sciences, 15(3), 398-405.
  • Thodberg, H.H., Thodberg, B., Ahlkvist, J. et al. (2022) Autonomous artificial intelligence in pediatric radiology: the use and perception of BoneXpert for bone age assessment. Pediatr Radiol 52(7), 1338-1346. https://doi.org/10.1007/s00247-022-05295-w.
  • Noye, S., Martinez, R. M., Carnieletto, L., De Carli, M., & Aguirre, A. C. (2022). A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control. Renewable and Sustainable Energy Reviews, 153, 111685.
  • Noye, S., Martinez, R. M., Carnieletto, L., De Carli, M., & Aguirre, A. C. (2022). A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control. Renewable and Sustainable Energy Reviews, 153, 111685.
  • Omelianenko, I. (2022). Autonomous Artificial Intelligent Agents. Machine Learning and the City: Applications in Architecture and Urban Design, 263-285.
  • Omelianenko, I. (2022). Autonomous Artificial Intelligent Agents. Machine Learning and the City: Applications in Architecture and Urban Design, 263-285.
  • Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1)
There are 44 citations in total.

Details

Primary Language English
Subjects Artificial Intelligence
Journal Section Research Articles
Authors

Mehmet Fırat 0000-0001-8707-5918

Saniye Kuleli 0000-0001-7838-4997

Early Pub Date August 7, 2023
Publication Date March 10, 2024
Published in Issue Year 2023 Volume: 3 Issue: 1

Cite

APA Fırat, M., & Kuleli, S. (2024). What if GPT4 Became Autonomous: The Auto-GPT Project and Use Cases. Journal of Emerging Computer Technologies, 3(1), 1-6. https://doi.org/10.57020/ject.1297961

Cited By

ChatGPT and computational-based research: benefits, drawbacks, and machine learning applications
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https://doi.org/10.1007/s44163-023-00091-3
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