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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
18,224 views • 8 days ago •via X (Twitter)
10 Comments

Chen8 days ago
SDK pain is too real

bodila8 days 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

codila8 days ago
agree with all words man!

Money Bunny7 days ago
Saving this for the weekend, finally a structured breakdown worth watching

codila7 days ago
I'm so glad this is helpful to you, thank you!

FastFix AI8 days ago
tokens go brrr apparently

Cryptoartmaster8 days ago
the shift from prompts to self-improving loop graphs is where engineering becomes autonomous scaling.

aishivam8 days 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🕊️ 🔶 BNB8 days ago
一小时塞这么多,估计得边看边暂停了

Cong Thanh7 days ago
Nices
