Published February 20, 2023 | Version v1
Journal article Open

Unlocking the Power of ChatGPT: An In-Depth Look at ChatAI's Business Model

Authors/Creators

  • 1. CQUPT

Contributors

  • 1. CQUPT

Description

ChatAI is an innovative business model that leverages the capabilities of ChatGPT, an advanced natural language processing (NLP) tool developed by OpenAI. ChatAI offers businesses and individuals a range of conversational AI services, including chatbots, voice assistants, and other AI-powered interfaces that can help automate customer interactions, provide personalized support, and gain valuable insights into customer needs and preferences. This research article explores the ChatAI business model, including its target audience, revenue model, value proposition, key activities, key partners, and key resources. Additionally, the article examines the marketing strategy of ChatAI, as well as its potential impact on the future of business and customer service.

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References

  • Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165.
  • Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI Blog, 1(8), 9
  • Holtzman, A., Buys, J., Du, J., Forbes, M., & Choi, Y. (2020). The curious case of neural text degeneration. arXiv preprint arXiv:1904.09751.
  • Keskar, N. S., Mangipudi, S. A., & Sohoni, M. (2020). Long-term memory in transformers. arXiv preprint arXiv:2004.13086.
  • Dathathri, S., Agrawal, A., Lu, J., Krause, J., & Fei-Fei, L. (2021). Plug and play language models: A simple approach to controlled text generation. arXiv preprint arXiv:2103.11544.
  • Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. In Advances in neural information processing systems (pp. 5998-6008).
  • Chowdhury, Naem & Rahman, Sagedur. (2023). A brief review of ChatGPT: Limitations, Challenges and Ethical-Social Implications. 10.5281/zenodo.7629888
  • Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) (pp. 4171-4186).
  • Brown, T. B., Mann, B., Bao, W., Gao, J., Chintala, S., Gupta, V., ... & Amodei, D. (2020). The language models are impressive, but they're not all-powerful yet. MIT Technology Review, 19