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llm_training

Experimentation

Chapter 1

  • elastic_search_playgrount.ipynb contains the initial experimentation with elastic search and prompt creation

Useful commands

docker volume create esdata
docker run -it -d --name elasticsearch -e "discovery.type=single-node" -e "xpack.security.enabled=false" -v esdata:/usr/share/elasticsearch/data -p 9200:9200 -p 9300:9300 docker.elastic.co/elasticsearch/elasticsearch:8.4.3

Run llm docker

docker run -it -v $(pwd):/app llm

run jupyter notebook

jupyter-lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root

In order to build both containers where you'd be able to access elasticsearch from llm you should run docker compose up -d --build Later, in order to access the jupyterlab running in our container, print the logs with docker logs llm and take the token.

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