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Google's Jeff Dean just released the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - how to use AI models 30:03 - prompt engineering 52:35 - one human coordinating 100 agents 1:02:40 - where the coordination actually lives 27 years of... show more

Residual

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84,053 次观看 • 20 天前 •via X (Twitter)

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7 条评论

Kamal Bisht 🔴 AI Marketer 的头像

Kamal Bisht 🔴 AI Marketer20 天前

27 years of work compressed into an hour and most people will finish it feeling like they understand the whole field. That's the trickiest part about lectures like this, the illusion of competence after watching.

Koray Yalçın 的头像

Koray Yalçın19 天前

The coordination point is where demos become systems: make delegation state, tool outcomes, and escalation ownership observable. Without that, 100 agents just multiply ambiguity.

Chen 的头像

Chen20 天前

brutally accurate. lived a version of this last quarter

Saikat Dutta 的头像

Saikat Dutta20 天前

link please

Brian Hadu 的头像

Brian Hadu20 天前

what stood out most for you in the section about prompt engineering?

Robert DiPierno 的头像

Robert DiPierno19 天前

Fantastic

Geospatial FM 的头像

Geospatial FM20 天前

Sorry. He did not

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Google's Jeff Dean just dropped the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - how to use AI models 30:03 - prompt engineering 52:35 - one human coordinating 100 agents 1:02:40 - where the coordination actually lives 27 years of building AI at Google, compressed into one hour Prompts → Agents → Loops → Graphs most people will stop at the prompt engineering chapter and call it progress he spends the last twenty minutes on the part that is still true next year same model, same tokens, completely different week watch it today the full guide on graph engineering is below, save it while it is still early ↓

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Ex-Google Jeff Dean just released the best 1-hour lecture on AI engineering: from basics to Graphs 1:45 - LLM from scratch 17:22 - How to use AI models 30:03 - Prompt engineering 52:35 - One human coordinating 100 agents 27 years of building AI at Google, compressed into one hour. Watch it, then read the full guide on Graph engineering below.

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