Part 5/12:
Generating fiction requires a delicate balance: high variability (high temperature in AI models) fosters creative diversity but also introduces noise, including nonsensical or low-quality outputs. Conversely, lower temperatures yield more deterministic, predictable results. Tuning the parameters appropriately is essential for optimal story synthesis— and ongoing experimentation seeks to refine this calibration.
Evaluation and Selection of High-Quality Synopses
The process involves repeatedly generating synopses, grading them, and selecting those that meet the highest quality (grade 5). A typical workflow involves:
Generating multiple synopses with the current model.
Evaluating each using the discriminator.
Stopping when a sufficiently high-quality synopsis is produced.