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Interpretable prompting and models for NLP (using large language models). Generates a prompt that explains patterns in data (Official) Explain the difference between two distributions. Find a natural-language prompt using input-gradients. Fit a better linear model using an LLM to extract embeddings. Fit better decision trees using an LLM to expand features. Finetune a single linear layer on top of LLM embeddings. Use these just a like a sci-kit-learn model. During training, they fit better features via LLMs, but at test-time, they are extremely fast and completely transparent.
Features
- Linear finetune
- Easy-to-fit baseline that follows the same API
- Aug-models
- D3 (DescribeDistributionalDifferences)
- Demos available
- Research paper and reference code
Project Samples
Categories
Transformer ModelsLicense
MIT LicenseFollow imodelsX
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