Guide — Integrate a Comet-based experiment logging system into your LLM-based RAG app
Obviously, it allows us to track and log our experiments, models, hyperparameters, and outcomes efficiently. And thus provides a structured way to improve the model’s performance over time.
COMPONENTS
- Comet.ml: Comet is an experiment management tool that helps track ML experiments. It allows us to log hyperparameters, outputs, metrics, and even visualize results in a comprehensible manner.
- LLM-based RAG: The Retrieval-Augmented Generation model combines a retrieval component with a generative Large Language Model. It retrieves relevant information from a corpus and then generates responses based on both the retrieved information and the query.
SETTING THINGS UP
- Sign Up/Login: Go to Comet.ml and create an account or log in.
- Create a Project: In your Comet dashboard, create a new project.
- Get API Key: Find your API key in your project settings. This key will help authenticate and log experiments to Comet.
INTEGRATING COMET TO APP
- Install Comet SDK:
