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1. llm-semantic-book-recommender llm-semantic-book-recommender Public

   The code to accompany the freeCodeCamp tutorial explaining how to use large language models to build a semantic book recommender.

   Jupyter Notebook 138 56

2. simple-rag-document-qa simple-rag-document-qa Public

   A simple RAG application for doing question-answering on a PDF document. Uses the PyCharm documentation as the source document and langchain to build the RAG pipeline.

   Jupyter Notebook 56 19

3. truthfulqa-evaluation truthfulqa-evaluation Public

   Jupyter Notebook 25 2

4. vectorising-python vectorising-python Public

   A collection of tutorials for using numpy functions to speed up data science code

   Jupyter Notebook 14 3

5. can-you-trust-your-model can-you-trust-your-model Public

   Resources for my talk, "Can you trust your (large language) model", given as a keynote at NDC Porto 2024.

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6. mirror-mirror mirror-mirror Public

   Materials for talk "Mirror, Mirror: LLMs and the Illusion of Humanity"

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