Examples

This section contains examples of Stained Glass Core in action.

• Cancer image classification

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  The purpose of this notebook is to demonstrate how to use Stained Glass Core to create a Stained Glass for a pretrained base model. Adding Stained Glass Core to a training/testing loop only requires the following changes in this order: 1.

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• Computing the Voronoi l2 Distance of a LLM's Embedding Table

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  The inverse power law geometric catalyst loss uses a parameter inverse_l2_power_law_characteristic_length which is recommended to be set as the 5th percentile of the Voronoi l2 distances between embeddings.

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• Creating Stained Glass for LLMs Recipe (with logging)

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  This notebook provides a full recipe for creating a Stained Glass Transform for LLMs with additional logging to track the evolution of metrics, parameters, generated text, and obfuscation scores during training.

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• Inference with Mistral 7B

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  This notebook demonstrates using a pre-trained Stained Glass Transform to transform text inputs for a Mistral 7B model.

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• TensorFlow Adapter

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  The notebook demonstrates how to use Stained Glass Core to create a Stained Glass Transform for a TensorFlow model using TensorFlowAdapter, a PyTorch-based TensorFlow model wrapper.

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