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executive-education

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Evals tell you whether it works; this tells you what actually happened. Tuesday 09:14, an analytics bot starts sending executives stale numbers - no error, no alert, green dashboard - because two thirds of the run sits inside no span at all. by Phoebe Fu

  • Updated Aug 27, 2026
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Every metric is an opinion about which mistakes matter. Both families in one arc: the classic canon (precision, recall, F1, ROC, calibration, cost matrices) and the LLM-era system (groundedness, hallucination, LLM-as-judge, latency and cost). by Phoebe Fu

  • Updated Aug 27, 2026
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The open protocol wiring AI to everything. Two tracks: leaders judge, buy and govern MCP without code; builders build, connect, secure and publish a real Python server for Daybreak. Every builder page steps through live JSON-RPC wire traffic. by Phoebe Fu

  • Updated Aug 27, 2026
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Testing the AI systems you own, honestly, and what you may claim afterwards. A bug bounty ran 183 people over 3,000 hours and found no universal jailbreak; a later exercise with 339 people found one - red teaming establishes presence, never absence. by Phoebe Fu

  • Updated Aug 27, 2026
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How the 'recommended for you' engine works end to end - the 6-session leader track covers the families in plain English, e-commerce vs fintech logic, the team + R&R pipeline, measurement and ethics; the 10-session builder track ships real Python from basket analysis to item-item and user-user CF. by Phoebe Fu

  • Updated Aug 27, 2026
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The plain-English on-ramp to the governance shelf - what personal data is, why governance matters (trust, risk, law), and the PDPA / GDPR / EU AI Act at a glance, with a live 'which regime touches me?' chooser. Feeds the four deeper gov courses. by Phoebe Fu

  • Updated Aug 27, 2026
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