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Andrew Ng just dropped a 2-hour course on Graph Engineering: from Loops to full automation 9:14 - Your first agent 33:11 - Loop engineering 1:02:46 - Graph engineering 1:30:15 - Agents that rewrite themselves 1:49:05 - Full graph system Free, the best thing on graph engineering I've come across...

238,787 次观看 • 1 个月前 •via X (Twitter)

12 条评论

Kiro 的头像
Kiro1 个月前

ng courses are solid but 2 hours is a lot when you can learn the same by building one broken agent and fixing it. the real lesson is loops are just state machines you don't control yet.

Jatin Garg 的头像
Jatin Garg1 个月前

the graph engineering section is worth it but the 'agents that rewrite themselves' part is where it gets real. most people stop at static graphs when the real unlock is graphs that evolve based on what breaks. have you tried self-modifying graphs in production or is it still too unstable?

snt avrl 的头像
snt avrl1 个月前

learning graph and loop engineering in 1 video - that's hardcore booked it

Seeker 的头像
Seeker1 个月前

The real skill is designing how agents hand work to each other

Mahax 的头像
Mahax1 个月前

that's most of what graph engineering actually is individual agents are almost the easy part, it's the contracts between them that take the most iteration to get right

expemilly 的头像
expemilly1 个月前

I wonder whether he would choose graph engineering or context? I think context will be more important

Mahax 的头像
Mahax1 个月前

they're more connected than they seem, the whole point of a graph is controlling what context each node gets, but if you had to pick one to get right first, context wins, bad context breaks good graphs

nabu 的头像
nabu1 个月前

going forward dont think any of these matter in one/two months, agents are coming out pre-looped it seems

Mahax 的头像
Mahax1 个月前

maybe, but that's how every abstraction has gone, someone still has to know what's underneath when it breaks

Shivam Kushwaha 的头像
Shivam Kushwaha1 个月前

crzyyy

TARAS PD 的头像
TARAS PD1 个月前

This focus on loops and graph systems is a powerful lens for building robust automation. Shifting from simply consuming information to architecting these systems is key to investor-level thinking.

Michael Knight 的头像
Michael Knight1 个月前

@grok find this on YouTube

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