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Google just released a free 2-hour course on Graph & Loop engineering: 1 prompt → 100 agents → loops → graphs, from 0% to 100%: 0% → 0:35 - graph engineering from scratch 30% → 31:17 - build your first agent graph 45% → 43:40 - run hundreds of...

27,608 просмотров • 1 месяц назад •via X (Twitter)

Комментарии: 12

Фото профиля slash1s
slash1s1 месяц назад

wow I love this topic

Фото профиля Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBack1 месяц назад

@hanakoxbt honestly never thought I'd need to deep dive into graph engineering, but now I see how running parallel agents can elevate workflows. Might give this course a shot!

Фото профиля RemoteBrowser
RemoteBrowser1 месяц назад

Running hundreds of agents in parallel is where the graph gets interesting. The hard part isn't spawning them, it's the fan-in: partial failures, retries, and keeping state consistent when one branch stalls. How are you handling that merge step?

Фото профиля Leliu
Leliu1 месяц назад

Interesting concept for scaling AI agent capabilities.

Фото профиля SEO Mastery
SEO Mastery1 месяц назад

100 agents running in parallel, wild scale

Фото профиля Aryan Pegwar
Aryan Pegwar1 месяц назад

I have watched the complete video course and created a skill for implementing the learnings immediately in all my agentic AI workflows. If someone wants that I'll happily share. Just DM me. "Skill"

Фото профиля Miles S.
Miles S.1 месяц назад

100 agents in parallel is the bit i’d watch first

Фото профиля John Mercier
John Mercier1 месяц назад

One agent works. A loop makes it compound.

Фото профиля Crio Songo
Crio Songo1 месяц назад

刚好最近在做多智能体架构,这个点说到点子上了,我这就去找课程来学学怎么搭分层结构。

Фото профиля SpectraView
SpectraView1 месяц назад

Just two hours of your time, and you become better.

Фото профиля Thành Lê 🌩️
Thành Lê 🌩️1 месяц назад

Beautif course

Фото профиля Kuzka_aaa
Kuzka_aaa1 месяц назад

The real jump isn’t a better prompt. It’s going from 1 agent stuffed with instructions to a graph that fans out, checks itself, and keeps running while you sleep.Same model. Different shape.

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