Optimization

2 articles

Apr 20, 2026

Lesson 5: Iterative Improvement Cycles

Master the rhythm of the AI architect. Learn how to turn evaluation data into architectural action, following a strict 'Run-Analyze-Pivot' cycle to reach production-grade reliability.

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Optimization

Apr 20, 2026

Lesson 6: Tradeoffs in Orchestration

Master the fine-tuning of AI systems. Learn how to navigate the fundamental trade-offs between autonomy and control, and between speed (latency) and robustness (reliability).

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