Christos Argyropoulos MD, PhD<p>This could take the form of setting up repositories (<a href="https://mstdn.science/tags/github" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>github</span></a>/ <a href="https://mstdn.science/tags/zenodo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>zenodo</span></a>) etc that store the prompts used and the output received from the <a href="https://mstdn.science/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a>. For example, if one were to use a chatbot to develop the plan for a scientific report and/or the first draft, the prompts and the output should be made public as research methods & supplementary material. <br>Differencing tools could then be automatically deployed to show how the final product changed to the <a href="https://mstdn.science/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> output that was first received, or even ...</p>