Can ChatGPT write a review paper on full-waveform inversion?

ChatGPT, the cutting-edge language model developed by OpenAI, stands out as a thrilling development in artificial intelligence (AI). Capable of producing human-like text and addressing intricate queries, it has already made a substantial impact and is set for ongoing growth. ChatGPT is trained through a two-step process, including pre-training on vast internet text data and fine-tuning with human reviewers, using reinforcement learning from human feedback. It is fine-tuned from a model in the GPT-3.5 (Generative Pre-trained Transformer-3.5) series, boasting 175 billion parameters for enhanced coherence and context-aware responses. We explore the capability of ChatGPT to write a review article by considering seismic full waveform inversion (FWI) as an example. To do so, we provide a sequence of prompts resulting in texts that are stitched together to produce the article. We provide the prompts and the generated text along with the analysis of its quality, highlighting the strengths and weaknesses of ChatGPT. We find the capabilities of ChatGPT quite remarkable in generating human-like text that can be used as an excellent starting point for a review paper on FWI. Through this article, we underscore the transformational capabilities of AI tools like ChatGPT in assisting with various tasks related to research writing.