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Gen AI experiments for Bioconductor

Experiments to build Bioconductor chatbots using Gen AI

Contents

  1. infrastructure - scripts for interacting with azure and ollama models, creating RAG stores, retrieving data from Bioc, etc.
  2. evaluation - scripts for response quality evaluation and small manually-curated evaluation datasets in csv
    • embedding-based: semantic textual similarity between ground truth responses and model responses to questions from the support site
    • code-diffusion: using LLMs to correct code errors and discouraged coding practices
    • llm-as-a-judge: having an LLM evaluating the responses of an LLM

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Testing for Bioconductor chatbots

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