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WEEK 07 · THE EXTRACTION AGENT, MEASURED

Do one thing.
Then you are ahead.

Now the junior analyst meets the answer key. You build extract/agent.py with two brains, a frontier model through the API and a local Qwen on your 3050, plus a fake brain for tests. Then you do the thing that distinguishes an AI scientist from an AI enthusiast: you measure it per field, not as one flattering average. It will be very good at "organism" and bad at "working volume", and that unevenness is the finding. …

If you only do one thing this week: the F1 table, whatever it says
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THE NEXT BLOCK

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4/12 Watch 75 min W06 Thursday AI & stats

Statistical Rethinking 2024

Statistical Rethinking 2024, lectures 1-2 (YouTube, from github.com/rmcelreath/stat_rethinking_2024) or Murphy, Probabilistic Machine Learning: An Introduction, ch. 2 — probml.github.io/pml-book/book1.html (75 min). Pick Rethinking if you want stories; Murphy if you want equations

Open ↗

In: LABLOOP-W06 Notebook

By Sunday you should be able to say: “I can read my own F1 table aloud, say why the worst field fails, and explain why tuning on the gold set is dangerous.”

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MOMENTUM

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