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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

codila

18,257 subscribers

18,224 次观看 • 8 天前 •via X (Twitter)

Anya Rossi• Live Now

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10 条评论

Chen 的头像

Chen8 天前

SDK pain is too real

bodila 的头像

bodila8 天前

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 的头像

codila8 天前

agree with all words man!

Money Bunny 的头像

Money Bunny7 天前

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

codila 的头像

codila7 天前

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

FastFix AI 的头像

FastFix AI8 天前

tokens go brrr apparently

Cryptoartmaster 的头像

Cryptoartmaster8 天前

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

aishivam 的头像

aishivam8 天前

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 的头像

安叫兽|Bird🕊️ 🔶 BNB8 天前

一小时塞这么多，估计得边看边暂停了

Cong Thanh 的头像

Cong Thanh7 天前

Nices

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