Why GDF?

Why is GDF needed?

Generative AI tools like ChatGPT are extremely intuitive due to their conversational nature. It raises the question, why does there need to be a methodology or framework?

To answer this, it is important to have the perspective that computing is just a collection of calls and responses, and language is the medium that allows call and response to communicate.

Assume you go to a customer service counter and place an item on the desk. You could say the following things (the call):

• Say Nothing

• I want to buy this item

• I want to return this item

• I want to buy this item with my American Express, packaged in cardboard box, and delivered to 100 Little St. Big City CO via UPS Next-Day shipping at 3pm EST.

• Quiero comprar este artículo con mi American Express, empaquetado en una caja de cartón y entregado en 100 Little St. Big City CO a través de UPS Next-Day shipping a las 3:00 p. m. EST.

Based on what you say and what is understood by the person standing behind the counter, you could get a series of responses or a single response. The same is true with a large language model and by understanding what a large language models knows and how it understands requests will allow you to more effectively communicate with it.

The purpose of GDF is not to slow down teams or individuals with yet another process, but to simply provide patterns and principles that can be implemented to whatever extent is efficient and secure.