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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... show more
18,426 views • 2 months ago •via X (Twitter)
10 Comments

Chen2 months ago
SDK pain is too real

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

codila2 months ago
agree with all words man!

Money Bunny2 months ago
Saving this for the weekend, finally a structured breakdown worth watching

codila2 months ago
I'm so glad this is helpful to you, thank you!

FastFix AI2 months ago
tokens go brrr apparently

Cryptoartmaster2 months ago
the shift from prompts to self-improving loop graphs is where engineering becomes autonomous scaling.

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🕊️ 🔶 BNB2 months ago
一小时塞这么多,估计得边看边暂停了

Cong Thanh2 months ago
Nices
