Exercise 2 — Structured extraction on 10 incidents

Guided practice5 min
Time
25-35 min
You need
the kit, the venv, python data/make_dataset.py done, Ollama running with llama3.2, Exercise 1 finished
Deliverable
week10/extraction_results.csv and your two accuracy lines from Step 5

The lab kit of the course: https://github.com/hrhouma2/aiopsatlas-ml-data-diagnostics-labs-en

Goal

NorthPeak receives technician notes as free text. Someone then types the category, the severity and the part into the database by hand. You will make the model do that reading: from one description to a validated object {category, severity, part}. Then you will run it on the first 10 incidents and compare with the true columns. You will find that one field is easy and one is not.

Preview — the rest of the lesson is for enrolled readers.

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This lesson is part of the “Week 10 — Local LLMs and LangChain” module

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