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Assessing LLM with LangChain

Running the notebook examples

The notebook examples are available in the notebooks folder. To run the examples, you need to have the following dependencies installed:

  • Python 3.10 or higher
  • Docker
  • GPU with CUDA support (optional). If you don't have a GPU, you can still run the examples, but it will be slower. Adjust scripts to run on CPU.

To run the examples, follow these steps:

  1. Clone the repository
  2. Open a terminal and navigate to the repository folder
  3. Run the following command to start the Jupyter notebook server:
docker compose up -d jupyter-notebook
  1. Pull the model and be set up to run:
sh startup.sh

or

docker compose exec -d ollama-server ollama pull llama3:instruct

To-do:

  • Add request to backend API
  • Address issues with the model
  • Integrate solutions with Chatbot API

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