ChatGPT and finetuned BERT: A comparative study for developing intelligent design support systems

Author:

Qiu Yunjian,Jin YanORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference53 articles.

1. Extracting functional requirements from design documentation using machine learning;Akay;Procedia CIRP,2021

2. Assessing the capabilities of ChatGPT to improve additive manufacturing troubleshooting;Badini;Advanced Industrial and Engineering Polymer Research,2023

3. On the dangers of stochastic parrots: Can language models be too big?;Bender,2021

4. Bommasani, R., Hudson, D.A., Adeli, E., Altman, R., Arora, S., von Arx, S. et al. (2021). On the opportunities and risks of foundation models. arXiv Preprint arXiv:2108.07258.

5. Language models are few-shot learners;Brown;Advances in Neural Information Processing Systems,2020

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