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Stanford Professors just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 0:35 - LLM from scratch 30% → 17:56 - how to actually prompt to AI models 65% → 36:09 - building self-improving loops and agent...

18,426 views • 2 months ago •via X (Twitter)

10 Comments

Chen's profile picture
Chen2 months ago

SDK pain is too real

bodila's profile picture
bodila2 months ago

BRILLIANT! all what you need now learn agents - this course and it doesn't matter if you're a beginner or a pro start wathcing rn thank you

codila's profile picture
codila2 months ago

agree with all words man!

Money Bunny's profile picture
Money Bunny2 months ago

Saving this for the weekend, finally a structured breakdown worth watching

codila's profile picture
codila2 months ago

I'm so glad this is helpful to you, thank you!

FastFix AI's profile picture
FastFix AI2 months ago

tokens go brrr apparently

Cryptoartmaster's profile picture
Cryptoartmaster2 months ago

the shift from prompts to self-improving loop graphs is where engineering becomes autonomous scaling.

aishivam's profile picture
aishivam2 months ago

From 0% to 100% in one hour just means we're going to speedrun a complete existential crisis about our careers

安叫兽|Bird🕊️ 🔶 BNB's profile picture
安叫兽|Bird🕊️ 🔶 BNB2 months ago

一小时塞这么多,估计得边看边暂停了

Cong Thanh's profile picture
Cong Thanh2 months ago

Nices

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