Issue 37, May 25, 2026

The Uncertainty Loop Paradox

Senior AI Engineer interview at Meta, and the interviewer asks:

“We have a 10-million sample unlabelled dataset and want to fine-tune a Llama-3 70B model while minimizing manual annotation costs. How do you design an Active Learning loop to selectively label the most uncertain points?”

The hidden trap where calculating predictive entropy on a 70B model completely destroys cluster efficiency, and the lightweight proxy scoring trick that solves it.

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