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Andrew Ng just released a free 2-hour course on complete Graph Engineering How to go from one prompt to 100 agents that loop, improve, and run without you: 09:14 - Build your first AI agent 33:11 - Run agents with loop engineering 1:02:46 - Turn agent loops into graphs...

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14,899 просмотров • 2 месяцев назад •via X (Twitter)

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Фото профиля null
null2 месяцев назад

wonder if the graph part uses langgraph

Фото профиля Tony Tong | Founder | Ancient Systems x AI
Tony Tong | Founder | Ancient Systems x AI2 месяцев назад

One prompt turning into a hundred self-improving agents is the new frontier, mine was more manual back in Jan 2021. I hand collected natal charts from about a hundred people I knew and mapped Bazi pillars to MBTI and Big Five with my own scores. Slower, still holds up.

Фото профиля pearson
pearson2 месяцев назад

I respect Andrew tbh

Фото профиля catman
catman2 месяцев назад

the self-rewriting section at 1:30:15 is where i’d slow down — how does it stop an agent from confidently making itself worse?

Фото профиля Garv Sanwariya
Garv Sanwariya2 месяцев назад

the jump from loops to graphs is where debugging gets messy. does he use langgraph or build custom state machines?

Фото профиля Jonyk
Jonyk2 месяцев назад

Andrew Ng’s Graph Engineering framework proves single-agent prompts are structurally obsolete: complex system automation requires dynamic loops and self-rewriting execution graphs to scale autonomous task orchestration.

Фото профиля Callan
Callan2 месяцев назад

single agents end where compounding begins

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