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a repo with sample code for using LLMs for ticket analysis tasks.

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LLM based analysis

Author: Omer Ansari
Initialize date: 5.27.24

Summary

This repository provides the code for a local environment for AI-driven development. It includes code for doing AI development both using an IDE (vscode), or a jupyter notebook.

It provides a local environment setup (MacOS only) that can be

  • used with OpenAI's APIs (link),
  • opensource LLMs hosted on the laptop (link), and
  • a small scrum team (using multi-agent framework backed by local LLMS) (link).

In addition, I'll be adding tools for

steps to set up the jupyter notebooks locally in a virtual environment:

  • git clone [email protected]:knail2/llm-based-analysis.git
  • cd llm-based-analysis/
  • python -m venv venv
  • . ./venv/bin/activate
  • pip install -r requirements.txt
  • pip install --upgrade 'jupyter-server<2.0.0' # horked library called tornado breaks notebook, so downgrade jupyter
  • jupyter contrib nbextension install --user #set up jupyter extensions
    • the article is here
    • the documentation for the extensions here
  • jt -t onedork -fs 95 -altp -tfs 11 -nfs 115 -cellw 88% -T # optional, dark mode
  • jt -r # optional, remove dark mode
  • jupyter notebook # run notebook

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a repo with sample code for using LLMs for ticket analysis tasks.

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