Support for model fine-tuning in BigQuery takes input text (the prompt) and the expected output, and teaches the model to mimic the behavior.

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BigQuery now supports fine-tuning of models hosted in Vertex AI. This allows for customization and improvement of model performance in scenarios where prompt engineering is not sufficient. A medical transcription dataset is used as an example to illustrate the process of fine-tuning a model in BigQuery. The baseline performance of the model is evaluated, and then the model is fine-tuned. The performance of the fine-tuned model is compared to the baseline model, showing an improvement in F1 scores. The fine-tuned model can be used for inference without the need for managing additional infrastructure.

BigQuery can now fine-tune models hosted in Vertex AI