Jupyter is the web-based notebook application for interactive computing, computational documents sharing. It offers a simple, streamlined, document-centric experience. Open the jupyter.md and follow the instructions.
MLflow is an open-source developer platform to build AI/ML applications with end-to-end experiment tracking, observability, and evaluations, all in one integrated platform. To learn about MLflow, open the mlflow.md and follow the instructions.
For more MLflow examples and advanced guide, please checkou out the official MLflow repository. Clone the mlflow into the data-lab/labs/extra directory and run examples by following the intructions of each jupyter notebooks under the example directory. You should make a extra directory where to clone the mlflow examples if you don't have it on your workspace.
git clone https://github.com/mlflow/mlflow.gitOllama is an open-source tool that allows users to run large language models (LLMs) on local computer. Open the ollama.md file and follow the instructions.