Course Wiki

Summary and Closing Remarks — LLM Zoomcamp Module 7

Notes

Between the previous video and this one, the project was polished further. Let’s look at what changed and the final result.

Several improvements were made after recording:

PostgreSQL logging was finished (there were timestamp issues with Docker clocks being out of sync with the host)
Grafana dashboard provisioning was automated with an init script that creates the data source and loads the dashboard JSON
The README was polished with a generated banner image, better formatting, grammar fixes, and clearer instructions
Code readability improvements across all files

The entire project cost about $2 in OpenAI API calls:

Using GPT-4o-mini keeps costs low. You could reduce costs further by using a local model or a cheaper provider.

Keep these points in mind as you build your own project:

Start simple: get a basic RAG flow working first, then add evaluation, monitoring, and containerization
Use generated data if you don’t have real data - it’s good enough for a course project
Polish your README: it’s the first thing people see
Use the course project criteria as a checklist

Check out the completed project at alexeygrigorev/fitness-assistant.

It includes: