OpenAI has introduced several new features to its fine-tuning API, enhancing the capabilities for developers working with artificial intelligence models. These updates include the integration of weights and biases, the ability to save multiple checkpoints per training job, capture snapshots at every epoch, adjust hyperparameters, track metrics, and a new side-by-side comparison view in the API playground. This development is especially significant as it marks the first time a third-party company, Weights & Biases, has been integrated directly for logging data during the fine-tuning process. The updates are designed to improve the efficiency and effectiveness of model training, allowing for more precise adjustments and comparisons.