Part 9/13:
Model Understanding and Consistency: Even with fine-tuning, maintaining narrative coherence over thousands of words remains challenging. The AI often loses track of plot threads, character arcs, or introduces inconsistencies.
Cost Constraints: Generating large datasets for training or fine-tuning is costly, and incremental prompt-based methods are more economical.
He experimented with alternative models like the original GPT-3 "Davinci," which performed better at generating cohesive fiction without fine-tuning, but still couldn’t bridge the entire gap for full-length novels.