GSTT-CSC / GSTT-CSC/project-template
[Feature Request]: Add LLM template
- Dominant language
- Python
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Description
**Description**
The project template ideally needs to be able to process unstructured, structured and imaging data. There is currently support for imaging data as well as a script that leverages encoder-based transformers (BERT style) for multiclass/multilabel classification.
The repository would benefit from a script that leverages decoder-based transformers (GPT style) for various clinical tasks (information extraction, summarisation, clinical decision making etc).
*Brief description of the new feature*
Scripts inspired from the NLP Head and Neck workshop for information extraction.
**Why do you need the new feature?**
GPT style LLMs are useful when very little annotated data is available and can be used to teach smaller more runnable models.
**How are you going to use this new feature?**
For any NLP clinical task (IE, NER, classification etc)
**Solution suggestion**
Scripts inspired from the NLP Head and Neck workshop for information extraction.
*Suggestion of how this could be implmented*
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