Part 1/8:

Fine-Tuning AI Models: A Comprehensive Guide

In this tutorial, David Shapiro walks us through the final stages of fine-tuning an artificial intelligence model, illustrating how to generate synthetic data, fine-tune a model, and utilize the resulting custom model efficiently.

From Data Generation to Fine-Tuning

Initially, the process involved creating synthetic data to serve as training input for the model. Building on this, the second step was data augmentation—enhancing and diversifying the dataset to improve model performance. With the prepared dataset in hand, the next phase was fine-tuning the model.