So I had a question about how all this works under the hood. The GPT model is trained (on a massive dataset) and then deployed. How are they getting the additio

So I had a question about how all this works under the hood. The GPT model is trained (on a massive dataset) and then deployed. How are they getting the additional product data from other sources like Instacart's retail partner locations and Shopify's store catalogs into it, so that it can output answers leveraging those? My understanding (perhaps incorrect) is that those weren't part of the dataset the model was initially trained on. For example: > Shop’s new AI-powered shopping assistant will streamline in-app shopping by scanning millions of products to quickly find what buyers are looking for > This uses ChatGPT alongside Instacart’s own AI and product data from their 75,000+ retail partner store locations to help customers discover ideas for open-ended shopping goals