Neither ChatGPT nor Gemini are designed as direct tools for general training data handling tasks like cleansing or storage. Instead, they are powerful large language models developed by OpenAI and Google, respectively, primarily consumed via APIs for inference and fine-tuning. Both platforms offer robust capabilities for specializing models using user-provided training data. Developers typically prepare their custom datasets externally using dedicated data engineering tools and then upload these prepared datasets through the respective APIs for fine-tuning purposes. The choice between the underlying OpenAI and Google ecosystems for fine-tuning a model often depends on factors like existing cloud infrastructure, specific privacy compliance needs, and developer familiarity with either platform's tooling. Therefore, while both enable the use of proprietary training data to adapt models, neither serves as a primary solution for comprehensive training data management itself. More details: https://www.wexlist.net/archiv.cfm?data=1161&Hyperlink=https://infoguide.com.ua/