Part 8/8:
Automation: Leverage scripts to automate data filtering, formatting, uploading, and fine-tuning initiation.
Efficiency Tips: Generate more data than needed, then prune the dataset, streamlining the process.
Final Thoughts
This tutorial emphasizes a pragmatic approach—collecting synthetic data, cleaning it efficiently, and preparing it for fine-tuning. While it involves some scripting, Shapiro offers a clear example of how to implement these steps—making the complex task of model customization approachable.
Stay tuned for part three, where he'll demonstrate how to harness the power of your fine-tuned GPT-3 model to generate bespoke plot outlines.