Part 4/9:
Fine-Tuning Prompts with Variables
A significant portion of the session is dedicated to implementing variable placeholders in prompts. This enables dynamic content generation tailored to specific inputs, such as wine origin, tasting notes, or tone.
For example, Shapiro demonstrates how to set up a prompt that allows users to input variables like:
Wine origin: Napa Valley, Bordeaux, etc.
Flavor profile: buttery, vanilla hints, spicy notes
Tone: sultry, elegant, humorous
He models this with a fill-in-the-blank style, showing how ChatGPT can generate customized descriptions based on variable inputs. He notes that reducing parameters like the "temperature" setting (making outputs more deterministic) helps produce consistent results.