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Andrew Ng just released a free 2-hour course on complete Harness Engineering How to go from one prompt to a reliable system of agents that can run, test, and improve themselves: 09:14 - Build your first agent from scratch 33:11 - Master agent loops 1:02:46 - Turn loops into...

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Ichigo

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98,000 次观看 • 6 天前 •via X (Twitter)

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13 条评论

Kira 的头像
Kira6 天前

always happy to see some lectures by Andrew Ng

Ichigo 的头像
Ichigo6 天前

always happy to share some useful videos.

beamnxw ./ 的头像
beamnxw ./6 天前

from one agent to a full ai system

volovuk 的头像
volovuk5 天前

The term is legit, but ‘just released’ claims deserve a source link — actual course page, not just a screenshot with timestamps.

Roberto M 的头像
Roberto M5 天前

this is the link for the course:

Risk Rich 的头像
Risk Rich6 天前

does the course cover how to design evaluators when success cannot be reduced to a passing test? that is where reliable loops get much harder

Internet Labs 的头像
Internet Labs6 天前

Shifting focus from basic prompting to the surrounding infrastructure is what finally makes agents production-ready.

Chen Avnery 的头像
Chen Avnery13 小时前

good. the scaffolding around the model has been the actual job for a while and it mostly got learned by people breaking things in prod. nice to see someone teach it on purpose.

Kshitij Mishra | AI & Tech 的头像
Kshitij Mishra | AI & Tech5 天前

this is called gold

Shon Pazarker 的头像
Shon Pazarker4 天前

The jump is not from one prompt to many agents. It is from a demo that runs once to a system that can verify its own work.

Arash Rahimi 的头像
Arash Rahimi5 天前

the missing layer was never another prompt

Huysolo 的头像
Huysolo5 天前

Moving past single prompts into proper agent harnesses is literally the missing piece for reliable multi step software execution

Able Varghese 的头像
Able Varghese2 天前

Reliability comes from the harness, not the prompt. Which signal do you trust most for regression detection: task success, tool traces, or recovery behavior?

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