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Code that accompanies the PyData New York (2022) talk: Addressing the sensitivity of Large language models

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MantisAI/prompt_engineering

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LLM Evaluation

This project aims to evaluate Large Language Models performance on different NLP tasks in combination with various prompts

Environment

Create a virtualenv and install requirements

make virtualenv

Then pull the data

dvc pull

Note that for DVC to work you need access to Mantis AWS

Data

To be filled

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Code that accompanies the PyData New York (2022) talk: Addressing the sensitivity of Large language models

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