Training Data

The potential benefits to your company if its public-facing information (like website content, blog posts, press releases, etc.) is included in the general GPT training data, not a custom fine-tuned model would be: Increased Visibility and Brand Awareness Having your company’s content represented in the training data for a widely used language model like GPT […]

This question touches on a common misconception about large language models (LLMs) like ChatGPT, lets clarify a few points: In essence, while LLMs don’t “save” knowledge in the way a human brain or traditional database does, the patterns learned during training do represent a form of knowledge. The cutoff date is crucial for understanding the

This is an important point that reveals some nuance in how these models work. Let me clarify: So while it’s not exactly “saving” in the conventional sense, it’s correct to say that the model does encode and use information about specific events and facts, albeit in a complex, distributed manner throughout its parameters. This is